#croplands — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #croplands, aggregated by home.social.
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Comparing DESIS Hyperspectral and Landsat 10 Simulated Superspectral Data for Crop Type Classification in California’s Central Valley
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https://doi.org/10.3390/rs18142282 <-- shared paper
--
https://www.usgs.gov/publications/comparing-desis-hyperspectral-and-landsat-10-simulated-superspectral-data-crop-type <-- shared USGs publication page
--
H/T @USGS
“How can we get better at classifying crops from space? 🛰️🌽
Some types of satellite imagery are better at distinguishing crops than others. A USGS study compared two approaches and found one produced more accurate crop maps.
Here's what the researchers found:
• Hyperspectral imagery achieved 86% accuracy, compared to 75% for simulated superspectral imagery.
• Using just 14 carefully selected hyperspectral bands produced nearly the same results as using all 60 DLR Earth Sensing Imaging Spectrometer (DESIS) bands, showing those wavelengths contain much of the information needed to distinguish crop types.
• Using superspectral imagery on the upcoming Landsat 10 mission will allow for routine tracking of crops and enhance finer crop mapping.
• The findings help scientists identify which wavelengths provide the most useful information for crop mapping and future remote sensing applications.
Better crop maps will help governments and scientists track global agriculture, monitor the current crop season, and study agricultural trends…”
--
“HIGHLIGHTS:
• What are the main findings?
- The 14 DESIS hyperspectral narrowbands (10 nm) aligned with the Landsat 10 (formerly Landsat Next) spectral dataset produced similar accuracy results to the full 60-band DESIS hyperspectral dataset for classifying crop types. These 14 DESIS narrowbands resulted in higher accuracy than the 14 simulated Landsat 10 superspectral broadbands.
- When using DESIS narrowbands, Support Vector Machine (SVM) resulted in higher accuracy than Random Forest (RF).
• What are the implications of the main findings?
- A carefully selected set of 14 DESIS hyperspectral narrowbands (10 nm) can achieve classification accuracy comparable to those obtained using all 60 DESIS narrowbands across the 400–1000 nm range. These 14 strategically positioned narrowbands classified crop types with higher classification accuracy than the corresponding 14 Landsat 10 superspectral broadbands within the same spectral range.
- This study underscores the importance of multi-temporal imagery across the full crop-growing season for achieving more detailed and accurate crop type classifications. Such temporal coverage is more feasible with the planned Landsat 10 routine acquisition of broadband imagery than with task-based hyperspectral collections…”
#hyperspectral #superspectral #optimalbands #randomforest #supportvectormachine #agriculture #crops #croptype #classifaction #croplands #California #CentralValley #GIS #spatial #mapping #remotesensing #earthobservation #imagery #DESIS #Landsat #Landsat10 #satellite #spatialanalysis #spatiotemporal #global #AI #machinelearning #model #modeling #SupportVectorMachine #SVM #RandomForest #RF #GoogleEarthEngine
@USGS -
Comparing DESIS Hyperspectral and Landsat 10 Simulated Superspectral Data for Crop Type Classification in California’s Central Valley
--
https://doi.org/10.3390/rs18142282 <-- shared paper
--
https://www.usgs.gov/publications/comparing-desis-hyperspectral-and-landsat-10-simulated-superspectral-data-crop-type <-- shared USGs publication page
--
H/T @USGS
“How can we get better at classifying crops from space? 🛰️🌽
Some types of satellite imagery are better at distinguishing crops than others. A USGS study compared two approaches and found one produced more accurate crop maps.
Here's what the researchers found:
• Hyperspectral imagery achieved 86% accuracy, compared to 75% for simulated superspectral imagery.
• Using just 14 carefully selected hyperspectral bands produced nearly the same results as using all 60 DLR Earth Sensing Imaging Spectrometer (DESIS) bands, showing those wavelengths contain much of the information needed to distinguish crop types.
• Using superspectral imagery on the upcoming Landsat 10 mission will allow for routine tracking of crops and enhance finer crop mapping.
• The findings help scientists identify which wavelengths provide the most useful information for crop mapping and future remote sensing applications.
Better crop maps will help governments and scientists track global agriculture, monitor the current crop season, and study agricultural trends…”
--
“HIGHLIGHTS:
• What are the main findings?
- The 14 DESIS hyperspectral narrowbands (10 nm) aligned with the Landsat 10 (formerly Landsat Next) spectral dataset produced similar accuracy results to the full 60-band DESIS hyperspectral dataset for classifying crop types. These 14 DESIS narrowbands resulted in higher accuracy than the 14 simulated Landsat 10 superspectral broadbands.
- When using DESIS narrowbands, Support Vector Machine (SVM) resulted in higher accuracy than Random Forest (RF).
• What are the implications of the main findings?
- A carefully selected set of 14 DESIS hyperspectral narrowbands (10 nm) can achieve classification accuracy comparable to those obtained using all 60 DESIS narrowbands across the 400–1000 nm range. These 14 strategically positioned narrowbands classified crop types with higher classification accuracy than the corresponding 14 Landsat 10 superspectral broadbands within the same spectral range.
- This study underscores the importance of multi-temporal imagery across the full crop-growing season for achieving more detailed and accurate crop type classifications. Such temporal coverage is more feasible with the planned Landsat 10 routine acquisition of broadband imagery than with task-based hyperspectral collections…”
#hyperspectral #superspectral #optimalbands #randomforest #supportvectormachine #agriculture #crops #croptype #classifaction #croplands #California #CentralValley #GIS #spatial #mapping #remotesensing #earthobservation #imagery #DESIS #Landsat #Landsat10 #satellite #spatialanalysis #spatiotemporal #global #AI #machinelearning #model #modeling #SupportVectorMachine #SVM #RandomForest #RF #GoogleEarthEngine
@USGS -
Comparing DESIS Hyperspectral and Landsat 10 Simulated Superspectral Data for Crop Type Classification in California’s Central Valley
--
https://doi.org/10.3390/rs18142282 <-- shared paper
--
https://www.usgs.gov/publications/comparing-desis-hyperspectral-and-landsat-10-simulated-superspectral-data-crop-type <-- shared USGs publication page
--
H/T @USGS
“How can we get better at classifying crops from space? 🛰️🌽
Some types of satellite imagery are better at distinguishing crops than others. A USGS study compared two approaches and found one produced more accurate crop maps.
Here's what the researchers found:
• Hyperspectral imagery achieved 86% accuracy, compared to 75% for simulated superspectral imagery.
• Using just 14 carefully selected hyperspectral bands produced nearly the same results as using all 60 DLR Earth Sensing Imaging Spectrometer (DESIS) bands, showing those wavelengths contain much of the information needed to distinguish crop types.
• Using superspectral imagery on the upcoming Landsat 10 mission will allow for routine tracking of crops and enhance finer crop mapping.
• The findings help scientists identify which wavelengths provide the most useful information for crop mapping and future remote sensing applications.
Better crop maps will help governments and scientists track global agriculture, monitor the current crop season, and study agricultural trends…”
--
“HIGHLIGHTS:
• What are the main findings?
- The 14 DESIS hyperspectral narrowbands (10 nm) aligned with the Landsat 10 (formerly Landsat Next) spectral dataset produced similar accuracy results to the full 60-band DESIS hyperspectral dataset for classifying crop types. These 14 DESIS narrowbands resulted in higher accuracy than the 14 simulated Landsat 10 superspectral broadbands.
- When using DESIS narrowbands, Support Vector Machine (SVM) resulted in higher accuracy than Random Forest (RF).
• What are the implications of the main findings?
- A carefully selected set of 14 DESIS hyperspectral narrowbands (10 nm) can achieve classification accuracy comparable to those obtained using all 60 DESIS narrowbands across the 400–1000 nm range. These 14 strategically positioned narrowbands classified crop types with higher classification accuracy than the corresponding 14 Landsat 10 superspectral broadbands within the same spectral range.
- This study underscores the importance of multi-temporal imagery across the full crop-growing season for achieving more detailed and accurate crop type classifications. Such temporal coverage is more feasible with the planned Landsat 10 routine acquisition of broadband imagery than with task-based hyperspectral collections…”
#hyperspectral #superspectral #optimalbands #randomforest #supportvectormachine #agriculture #crops #croptype #classifaction #croplands #California #CentralValley #GIS #spatial #mapping #remotesensing #earthobservation #imagery #DESIS #Landsat #Landsat10 #satellite #spatialanalysis #spatiotemporal #global #AI #machinelearning #model #modeling #SupportVectorMachine #SVM #RandomForest #RF #GoogleEarthEngine
@USGS -
Comparing DESIS Hyperspectral and Landsat 10 Simulated Superspectral Data for Crop Type Classification in California’s Central Valley
--
https://doi.org/10.3390/rs18142282 <-- shared paper
--
https://www.usgs.gov/publications/comparing-desis-hyperspectral-and-landsat-10-simulated-superspectral-data-crop-type <-- shared USGs publication page
--
H/T @USGS
“How can we get better at classifying crops from space? 🛰️🌽
Some types of satellite imagery are better at distinguishing crops than others. A USGS study compared two approaches and found one produced more accurate crop maps.
Here's what the researchers found:
• Hyperspectral imagery achieved 86% accuracy, compared to 75% for simulated superspectral imagery.
• Using just 14 carefully selected hyperspectral bands produced nearly the same results as using all 60 DLR Earth Sensing Imaging Spectrometer (DESIS) bands, showing those wavelengths contain much of the information needed to distinguish crop types.
• Using superspectral imagery on the upcoming Landsat 10 mission will allow for routine tracking of crops and enhance finer crop mapping.
• The findings help scientists identify which wavelengths provide the most useful information for crop mapping and future remote sensing applications.
Better crop maps will help governments and scientists track global agriculture, monitor the current crop season, and study agricultural trends…”
--
“HIGHLIGHTS:
• What are the main findings?
- The 14 DESIS hyperspectral narrowbands (10 nm) aligned with the Landsat 10 (formerly Landsat Next) spectral dataset produced similar accuracy results to the full 60-band DESIS hyperspectral dataset for classifying crop types. These 14 DESIS narrowbands resulted in higher accuracy than the 14 simulated Landsat 10 superspectral broadbands.
- When using DESIS narrowbands, Support Vector Machine (SVM) resulted in higher accuracy than Random Forest (RF).
• What are the implications of the main findings?
- A carefully selected set of 14 DESIS hyperspectral narrowbands (10 nm) can achieve classification accuracy comparable to those obtained using all 60 DESIS narrowbands across the 400–1000 nm range. These 14 strategically positioned narrowbands classified crop types with higher classification accuracy than the corresponding 14 Landsat 10 superspectral broadbands within the same spectral range.
- This study underscores the importance of multi-temporal imagery across the full crop-growing season for achieving more detailed and accurate crop type classifications. Such temporal coverage is more feasible with the planned Landsat 10 routine acquisition of broadband imagery than with task-based hyperspectral collections…”
#hyperspectral #superspectral #optimalbands #randomforest #supportvectormachine #agriculture #crops #croptype #classifaction #croplands #California #CentralValley #GIS #spatial #mapping #remotesensing #earthobservation #imagery #DESIS #Landsat #Landsat10 #satellite #spatialanalysis #spatiotemporal #global #AI #machinelearning #model #modeling #SupportVectorMachine #SVM #RandomForest #RF #GoogleEarthEngine
@USGS -
Comparing DESIS Hyperspectral and Landsat 10 Simulated Superspectral Data for Crop Type Classification in California’s Central Valley
--
https://doi.org/10.3390/rs18142282 <-- shared paper
--
https://www.usgs.gov/publications/comparing-desis-hyperspectral-and-landsat-10-simulated-superspectral-data-crop-type <-- shared USGs publication page
--
H/T @USGS
“How can we get better at classifying crops from space? 🛰️🌽
Some types of satellite imagery are better at distinguishing crops than others. A USGS study compared two approaches and found one produced more accurate crop maps.
Here's what the researchers found:
• Hyperspectral imagery achieved 86% accuracy, compared to 75% for simulated superspectral imagery.
• Using just 14 carefully selected hyperspectral bands produced nearly the same results as using all 60 DLR Earth Sensing Imaging Spectrometer (DESIS) bands, showing those wavelengths contain much of the information needed to distinguish crop types.
• Using superspectral imagery on the upcoming Landsat 10 mission will allow for routine tracking of crops and enhance finer crop mapping.
• The findings help scientists identify which wavelengths provide the most useful information for crop mapping and future remote sensing applications.
Better crop maps will help governments and scientists track global agriculture, monitor the current crop season, and study agricultural trends…”
--
“HIGHLIGHTS:
• What are the main findings?
- The 14 DESIS hyperspectral narrowbands (10 nm) aligned with the Landsat 10 (formerly Landsat Next) spectral dataset produced similar accuracy results to the full 60-band DESIS hyperspectral dataset for classifying crop types. These 14 DESIS narrowbands resulted in higher accuracy than the 14 simulated Landsat 10 superspectral broadbands.
- When using DESIS narrowbands, Support Vector Machine (SVM) resulted in higher accuracy than Random Forest (RF).
• What are the implications of the main findings?
- A carefully selected set of 14 DESIS hyperspectral narrowbands (10 nm) can achieve classification accuracy comparable to those obtained using all 60 DESIS narrowbands across the 400–1000 nm range. These 14 strategically positioned narrowbands classified crop types with higher classification accuracy than the corresponding 14 Landsat 10 superspectral broadbands within the same spectral range.
- This study underscores the importance of multi-temporal imagery across the full crop-growing season for achieving more detailed and accurate crop type classifications. Such temporal coverage is more feasible with the planned Landsat 10 routine acquisition of broadband imagery than with task-based hyperspectral collections…”
#hyperspectral #superspectral #optimalbands #randomforest #supportvectormachine #agriculture #crops #croptype #classifaction #croplands #California #CentralValley #GIS #spatial #mapping #remotesensing #earthobservation #imagery #DESIS #Landsat #Landsat10 #satellite #spatialanalysis #spatiotemporal #global #AI #machinelearning #model #modeling #SupportVectorMachine #SVM #RandomForest #RF #GoogleEarthEngine
@USGS -
New publication: Plant diversity modifies multi-trophic interactions in #croplands, #grasslands and #forests. #biodiversity #plantdiversity #agriculture #sustainableagriculture https://doi.org/10.1126/sciadv.aeb8680
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New publication: Plant diversity modifies multi-trophic interactions in #croplands, #grasslands and #forests. #biodiversity #plantdiversity #agriculture #sustainableagriculture https://doi.org/10.1126/sciadv.aeb8680
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New publication: Plant diversity modifies multi-trophic interactions in #croplands, #grasslands and #forests. #biodiversity #plantdiversity #agriculture #sustainableagriculture https://doi.org/10.1126/sciadv.aeb8680
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New publication: Plant diversity modifies multi-trophic interactions in #croplands, #grasslands and #forests. #biodiversity #plantdiversity #agriculture #sustainableagriculture https://doi.org/10.1126/sciadv.aeb8680
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New publication: Plant diversity modifies multi-trophic interactions in #croplands, #grasslands and #forests. #biodiversity #plantdiversity #agriculture #sustainableagriculture https://doi.org/10.1126/sciadv.aeb8680
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Remote Sensing and GIS Assessment of Drought Dynamics in the Ukrina River Basin, Bosnia and Herzegovina
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https://doi.org/10.3390/atmos17020124 <-- shared paper
--
#GIS #spatial #mapping #drought #risk #hazard #remotesensing #MODIS #satellite #earthobservation #spatialanalysis #spatiotemporal #monitoring #Ukrina #RiverBasin #Bosnia #Herzegovina #BosniaHerzegovina #water #waterresources #socioeconomic #risk #hazard #cost #economics #agriculture #foodsecurity #watersecurity #landcover #vegetation #croplands #fruit #crops #metrology #hydrology #droughtexposure #basins #riverbasins #watersheds #monitoring #mitigation #planning #droughtrisk -
Remote Sensing and GIS Assessment of Drought Dynamics in the Ukrina River Basin, Bosnia and Herzegovina
--
https://doi.org/10.3390/atmos17020124 <-- shared paper
--
#GIS #spatial #mapping #drought #risk #hazard #remotesensing #MODIS #satellite #earthobservation #spatialanalysis #spatiotemporal #monitoring #Ukrina #RiverBasin #Bosnia #Herzegovina #BosniaHerzegovina #water #waterresources #socioeconomic #risk #hazard #cost #economics #agriculture #foodsecurity #watersecurity #landcover #vegetation #croplands #fruit #crops #metrology #hydrology #droughtexposure #basins #riverbasins #watersheds #monitoring #mitigation #planning #droughtrisk -
Remote Sensing and GIS Assessment of Drought Dynamics in the Ukrina River Basin, Bosnia and Herzegovina
--
https://doi.org/10.3390/atmos17020124 <-- shared paper
--
#GIS #spatial #mapping #drought #risk #hazard #remotesensing #MODIS #satellite #earthobservation #spatialanalysis #spatiotemporal #monitoring #Ukrina #RiverBasin #Bosnia #Herzegovina #BosniaHerzegovina #water #waterresources #socioeconomic #risk #hazard #cost #economics #agriculture #foodsecurity #watersecurity #landcover #vegetation #croplands #fruit #crops #metrology #hydrology #droughtexposure #basins #riverbasins #watersheds #monitoring #mitigation #planning #droughtrisk -
Remote Sensing and GIS Assessment of Drought Dynamics in the Ukrina River Basin, Bosnia and Herzegovina
--
https://doi.org/10.3390/atmos17020124 <-- shared paper
--
#GIS #spatial #mapping #drought #risk #hazard #remotesensing #MODIS #satellite #earthobservation #spatialanalysis #spatiotemporal #monitoring #Ukrina #RiverBasin #Bosnia #Herzegovina #BosniaHerzegovina #water #waterresources #socioeconomic #risk #hazard #cost #economics #agriculture #foodsecurity #watersecurity #landcover #vegetation #croplands #fruit #crops #metrology #hydrology #droughtexposure #basins #riverbasins #watersheds #monitoring #mitigation #planning #droughtrisk -
Remote Sensing and GIS Assessment of Drought Dynamics in the Ukrina River Basin, Bosnia and Herzegovina
--
https://doi.org/10.3390/atmos17020124 <-- shared paper
--
#GIS #spatial #mapping #drought #risk #hazard #remotesensing #MODIS #satellite #earthobservation #spatialanalysis #spatiotemporal #monitoring #Ukrina #RiverBasin #Bosnia #Herzegovina #BosniaHerzegovina #water #waterresources #socioeconomic #risk #hazard #cost #economics #agriculture #foodsecurity #watersecurity #landcover #vegetation #croplands #fruit #crops #metrology #hydrology #droughtexposure #basins #riverbasins #watersheds #monitoring #mitigation #planning #droughtrisk -
Remotely Sensed Soil Moisture Can Capture Dynamics Relevant To Plant Water Uptake
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https://doi.org/10.1029/2022WR033814 <-- shared (2023) paper
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#GIS #spatial #mapping #remotesensing #global #soil #moisture #earthobservation #Lband #satellite #landsurface #landuse #biosphere #hydrosphere #microwave #vegetation #botany #roots #agriculture #pluvial #rainfall #taproot #planthealth #foodsecurity #production #rootzones #spatialanalysis #spatiotemporal #grasslands #croplands #shrubs #trees #seasonal #water #hydrology #wateruptake #SMAP
@nasa @nasa Goddard @AGU -
Remotely Sensed Soil Moisture Can Capture Dynamics Relevant To Plant Water Uptake
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https://doi.org/10.1029/2022WR033814 <-- shared (2023) paper
--
#GIS #spatial #mapping #remotesensing #global #soil #moisture #earthobservation #Lband #satellite #landsurface #landuse #biosphere #hydrosphere #microwave #vegetation #botany #roots #agriculture #pluvial #rainfall #taproot #planthealth #foodsecurity #production #rootzones #spatialanalysis #spatiotemporal #grasslands #croplands #shrubs #trees #seasonal #water #hydrology #wateruptake #SMAP
@nasa @nasa Goddard @AGU -
Remotely Sensed Soil Moisture Can Capture Dynamics Relevant To Plant Water Uptake
--
https://doi.org/10.1029/2022WR033814 <-- shared (2023) paper
--
#GIS #spatial #mapping #remotesensing #global #soil #moisture #earthobservation #Lband #satellite #landsurface #landuse #biosphere #hydrosphere #microwave #vegetation #botany #roots #agriculture #pluvial #rainfall #taproot #planthealth #foodsecurity #production #rootzones #spatialanalysis #spatiotemporal #grasslands #croplands #shrubs #trees #seasonal #water #hydrology #wateruptake #SMAP
@nasa @nasa Goddard @AGU -
Remotely Sensed Soil Moisture Can Capture Dynamics Relevant To Plant Water Uptake
--
https://doi.org/10.1029/2022WR033814 <-- shared (2023) paper
--
#GIS #spatial #mapping #remotesensing #global #soil #moisture #earthobservation #Lband #satellite #landsurface #landuse #biosphere #hydrosphere #microwave #vegetation #botany #roots #agriculture #pluvial #rainfall #taproot #planthealth #foodsecurity #production #rootzones #spatialanalysis #spatiotemporal #grasslands #croplands #shrubs #trees #seasonal #water #hydrology #wateruptake #SMAP
@nasa @nasa Goddard @AGU -
Remotely Sensed Soil Moisture Can Capture Dynamics Relevant To Plant Water Uptake
--
https://doi.org/10.1029/2022WR033814 <-- shared (2023) paper
--
#GIS #spatial #mapping #remotesensing #global #soil #moisture #earthobservation #Lband #satellite #landsurface #landuse #biosphere #hydrosphere #microwave #vegetation #botany #roots #agriculture #pluvial #rainfall #taproot #planthealth #foodsecurity #production #rootzones #spatialanalysis #spatiotemporal #grasslands #croplands #shrubs #trees #seasonal #water #hydrology #wateruptake #SMAP
@nasa @nasa Goddard @AGU -
Provisional Land Use Data From Water Year 2024 Is Now Available On [CA]DWR Atlas, CNRA Open Data, And SGMA Data Viewer For Public Use
--
https://gis.water.ca.gov/app/CADWRLandUseViewer/?page=home <-- shared web-based CDWR datasets / map
--
“The collected data is used by various federal, state, and local agencies, academic researchers and private consultants , and can help estimate the amount of water available for agriculture. Using this information, farmers can adapt and make decisions to better manage scarce water supplies more effectively.”
#GIS #spatial #mapping #California #download #opendata #water #hydrology #datause #datasharing #download #landuse #spatialanalysis #spatiotemporal #wateryear #DWRAtlas #statewide #CNRA #SGMA #publicdata #publicgood #usecase #crops #croplands #cropmapping #counties #countysurvey #CADWR #DWR #groundwater #irrigation #wateruse #watermanagement #federal #state #local #webmapping #agriculture #watersecurity #foodsecurity #watersupply
#CaliforniaDepartmentOfWaterResources -
Provisional Land Use Data From Water Year 2024 Is Now Available On [CA]DWR Atlas, CNRA Open Data, And SGMA Data Viewer For Public Use
--
https://gis.water.ca.gov/app/CADWRLandUseViewer/?page=home <-- shared web-based CDWR datasets / map
--
“The collected data is used by various federal, state, and local agencies, academic researchers and private consultants , and can help estimate the amount of water available for agriculture. Using this information, farmers can adapt and make decisions to better manage scarce water supplies more effectively.”
#GIS #spatial #mapping #California #download #opendata #water #hydrology #datause #datasharing #download #landuse #spatialanalysis #spatiotemporal #wateryear #DWRAtlas #statewide #CNRA #SGMA #publicdata #publicgood #usecase #crops #croplands #cropmapping #counties #countysurvey #CADWR #DWR #groundwater #irrigation #wateruse #watermanagement #federal #state #local #webmapping #agriculture #watersecurity #foodsecurity #watersupply
#CaliforniaDepartmentOfWaterResources -
Provisional Land Use Data From Water Year 2024 Is Now Available On [CA]DWR Atlas, CNRA Open Data, And SGMA Data Viewer For Public Use
--
https://gis.water.ca.gov/app/CADWRLandUseViewer/?page=home <-- shared web-based CDWR datasets / map
--
“The collected data is used by various federal, state, and local agencies, academic researchers and private consultants , and can help estimate the amount of water available for agriculture. Using this information, farmers can adapt and make decisions to better manage scarce water supplies more effectively.”
#GIS #spatial #mapping #California #download #opendata #water #hydrology #datause #datasharing #download #landuse #spatialanalysis #spatiotemporal #wateryear #DWRAtlas #statewide #CNRA #SGMA #publicdata #publicgood #usecase #crops #croplands #cropmapping #counties #countysurvey #CADWR #DWR #groundwater #irrigation #wateruse #watermanagement #federal #state #local #webmapping #agriculture #watersecurity #foodsecurity #watersupply
#CaliforniaDepartmentOfWaterResources -
Provisional Land Use Data From Water Year 2024 Is Now Available On [CA]DWR Atlas, CNRA Open Data, And SGMA Data Viewer For Public Use
--
https://gis.water.ca.gov/app/CADWRLandUseViewer/?page=home <-- shared web-based CDWR datasets / map
--
“The collected data is used by various federal, state, and local agencies, academic researchers and private consultants , and can help estimate the amount of water available for agriculture. Using this information, farmers can adapt and make decisions to better manage scarce water supplies more effectively.”
#GIS #spatial #mapping #California #download #opendata #water #hydrology #datause #datasharing #download #landuse #spatialanalysis #spatiotemporal #wateryear #DWRAtlas #statewide #CNRA #SGMA #publicdata #publicgood #usecase #crops #croplands #cropmapping #counties #countysurvey #CADWR #DWR #groundwater #irrigation #wateruse #watermanagement #federal #state #local #webmapping #agriculture #watersecurity #foodsecurity #watersupply
#CaliforniaDepartmentOfWaterResources -
Provisional Land Use Data From Water Year 2024 Is Now Available On [CA]DWR Atlas, CNRA Open Data, And SGMA Data Viewer For Public Use
--
https://gis.water.ca.gov/app/CADWRLandUseViewer/?page=home <-- shared web-based CDWR datasets / map
--
“The collected data is used by various federal, state, and local agencies, academic researchers and private consultants , and can help estimate the amount of water available for agriculture. Using this information, farmers can adapt and make decisions to better manage scarce water supplies more effectively.”
#GIS #spatial #mapping #California #download #opendata #water #hydrology #datause #datasharing #download #landuse #spatialanalysis #spatiotemporal #wateryear #DWRAtlas #statewide #CNRA #SGMA #publicdata #publicgood #usecase #crops #croplands #cropmapping #counties #countysurvey #CADWR #DWR #groundwater #irrigation #wateruse #watermanagement #federal #state #local #webmapping #agriculture #watersecurity #foodsecurity #watersupply
#CaliforniaDepartmentOfWaterResources -
This paper by Ranjbar et al 2024 paves the way for global monitoring of carbon exchange using geostationary satellite data with a 5 min resolution across different #Ecosystems, such as #Forests , #Wetlands , #Grasslands , #Savannas and #Croplands offering a powerful tool for scientists and policymakers tackling #ClimateChange
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024MS004341 -
This paper by Ranjbar et al 2024 paves the way for global monitoring of carbon exchange using geostationary satellite data with a 5 min resolution across different #Ecosystems, such as #Forests , #Wetlands , #Grasslands , #Savannas and #Croplands offering a powerful tool for scientists and policymakers tackling #ClimateChange
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024MS004341 -
This paper by Ranjbar et al 2024 paves the way for global monitoring of carbon exchange using geostationary satellite data with a 5 min resolution across different #Ecosystems, such as #Forests , #Wetlands , #Grasslands , #Savannas and #Croplands offering a powerful tool for scientists and policymakers tackling #ClimateChange
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024MS004341 -
This paper by Ranjbar et al 2024 paves the way for global monitoring of carbon exchange using geostationary satellite data with a 5 min resolution across different #Ecosystems, such as #Forests , #Wetlands , #Grasslands , #Savannas and #Croplands offering a powerful tool for scientists and policymakers tackling #ClimateChange
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024MS004341 -
This paper by Ranjbar et al 2024 paves the way for global monitoring of carbon exchange using geostationary satellite data with a 5 min resolution across different #Ecosystems, such as #Forests , #Wetlands , #Grasslands , #Savannas and #Croplands offering a powerful tool for scientists and policymakers tackling #ClimateChange
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024MS004341 -
Pollution & Deforestation In The Medieval World
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https://www.thecollector.com/pollution-deforestation-medieval-world/ <-- shared technical article
--
#medieval #history #deforestation #pollution #middleages #coal #seacoal #heating #fuel #trees #forests #airpollution #waterquality #ships #shipping #watermills #environmental #climatechange #MedievalWarmPeriod #food #agriculture #civilisation #mining #urban #city #cities #growth #humanimpacts #population #livingstandards #clearing #croplands #waterresources #economy #ecosystems #farming #airpollution #publichealth #waterpollution -
Pollution & Deforestation In The Medieval World
--
https://www.thecollector.com/pollution-deforestation-medieval-world/ <-- shared technical article
--
#medieval #history #deforestation #pollution #middleages #coal #seacoal #heating #fuel #trees #forests #airpollution #waterquality #ships #shipping #watermills #environmental #climatechange #MedievalWarmPeriod #food #agriculture #civilisation #mining #urban #city #cities #growth #humanimpacts #population #livingstandards #clearing #croplands #waterresources #economy #ecosystems #farming #airpollution #publichealth #waterpollution -
Pollution & Deforestation In The Medieval World
--
https://www.thecollector.com/pollution-deforestation-medieval-world/ <-- shared technical article
--
#medieval #history #deforestation #pollution #middleages #coal #seacoal #heating #fuel #trees #forests #airpollution #waterquality #ships #shipping #watermills #environmental #climatechange #MedievalWarmPeriod #food #agriculture #civilisation #mining #urban #city #cities #growth #humanimpacts #population #livingstandards #clearing #croplands #waterresources #economy #ecosystems #farming #airpollution #publichealth #waterpollution -
Pollution & Deforestation In The Medieval World
--
https://www.thecollector.com/pollution-deforestation-medieval-world/ <-- shared technical article
--
#medieval #history #deforestation #pollution #middleages #coal #seacoal #heating #fuel #trees #forests #airpollution #waterquality #ships #shipping #watermills #environmental #climatechange #MedievalWarmPeriod #food #agriculture #civilisation #mining #urban #city #cities #growth #humanimpacts #population #livingstandards #clearing #croplands #waterresources #economy #ecosystems #farming #airpollution #publichealth #waterpollution -
Pollution & Deforestation In The Medieval World
--
https://www.thecollector.com/pollution-deforestation-medieval-world/ <-- shared technical article
--
#medieval #history #deforestation #pollution #middleages #coal #seacoal #heating #fuel #trees #forests #airpollution #waterquality #ships #shipping #watermills #environmental #climatechange #MedievalWarmPeriod #food #agriculture #civilisation #mining #urban #city #cities #growth #humanimpacts #population #livingstandards #clearing #croplands #waterresources #economy #ecosystems #farming #airpollution #publichealth #waterpollution -
Shifting rainfed agricultural lands to more optimal locations can help reduce carbon emissions, enhance biodiversity, and lower water consumption in global crop production #croplands
-
Shifting rainfed agricultural lands to more optimal locations can help reduce carbon emissions, enhance biodiversity, and lower water consumption in global crop production #croplands
-
Shifting rainfed agricultural lands to more optimal locations can help reduce carbon emissions, enhance biodiversity, and lower water consumption in global crop production #croplands
-
Shifting rainfed agricultural lands to more optimal locations can help reduce carbon emissions, enhance biodiversity, and lower water consumption in global crop production #croplands
-
Shifting rainfed agricultural lands to more optimal locations can help reduce carbon emissions, enhance biodiversity, and lower water consumption in global crop production #croplands
-
Forests & Woodlands stored 323 million tonnes of carbon in 2022, up almost 13% on 2012
https://www.cso.ie/en/releasesandpublications/fp/fp-eafaw/ecosystemaccountsforestsandwoodlands2012-2022/?utm_source=MA&utm_medium=MA&utm_campaign=EcoAccsForWood12-22#CSOIreland #Ireland #Environment #EcosystemAccounts #Climate #Ecosystem #EcosystemExtent #Settlements #Grasslands #Croplands #Forests #Woodland #Wetlands #Forestry #ForestWood
-
Forests & Woodlands stored 323 million tonnes of carbon in 2022, up almost 13% on 2012
https://www.cso.ie/en/releasesandpublications/fp/fp-eafaw/ecosystemaccountsforestsandwoodlands2012-2022/?utm_source=MA&utm_medium=MA&utm_campaign=EcoAccsForWood12-22#CSOIreland #Ireland #Environment #EcosystemAccounts #Climate #Ecosystem #EcosystemExtent #Settlements #Grasslands #Croplands #Forests #Woodland #Wetlands #Forestry #ForestWood
-
Forests & Woodlands stored 323 million tonnes of carbon in 2022, up almost 13% on 2012
https://www.cso.ie/en/releasesandpublications/fp/fp-eafaw/ecosystemaccountsforestsandwoodlands2012-2022/?utm_source=MA&utm_medium=MA&utm_campaign=EcoAccsForWood12-22#CSOIreland #Ireland #Environment #EcosystemAccounts #Climate #Ecosystem #EcosystemExtent #Settlements #Grasslands #Croplands #Forests #Woodland #Wetlands #Forestry #ForestWood
-
Forests & Woodlands stored 323 million tonnes of carbon in 2022, up almost 13% on 2012
https://www.cso.ie/en/releasesandpublications/fp/fp-eafaw/ecosystemaccountsforestsandwoodlands2012-2022/?utm_source=MA&utm_medium=MA&utm_campaign=EcoAccsForWood12-22#CSOIreland #Ireland #Environment #EcosystemAccounts #Climate #Ecosystem #EcosystemExtent #Settlements #Grasslands #Croplands #Forests #Woodland #Wetlands #Forestry #ForestWood
-
Forests & Woodlands stored 323 million tonnes of carbon in 2022, up almost 13% on 2012
https://www.cso.ie/en/releasesandpublications/fp/fp-eafaw/ecosystemaccountsforestsandwoodlands2012-2022/?utm_source=MA&utm_medium=MA&utm_campaign=EcoAccsForWood12-22#CSOIreland #Ireland #Environment #EcosystemAccounts #Climate #Ecosystem #EcosystemExtent #Settlements #Grasslands #Croplands #Forests #Woodland #Wetlands #Forestry #ForestWood
-
Handbook On Remote Sensing For Agricultural Statistics, UN [2017]
--
https://openknowledge.fao.org/items/4985ca3d-f1a1-4cef-a7ad-159e7c288de1 <-- link to technical resource
--
[a little older but still very valuable; it would be interesting to see how more recent AI plays into any 2nd edition]
#GIS #spatial #mapping #remotesensing #earthobservation #agriculture #farming #crops #croplands #foodresources #statistics #geostatistics #sustainability #global #strategy #methods #model #modeling #research #GPS #precisionagriculture #census #estimation #yields #monitoring #openaccess #opendata #handbook
@UN @FAO -
Handbook On Remote Sensing For Agricultural Statistics, UN [2017]
--
https://openknowledge.fao.org/items/4985ca3d-f1a1-4cef-a7ad-159e7c288de1 <-- link to technical resource
--
[a little older but still very valuable; it would be interesting to see how more recent AI plays into any 2nd edition]
#GIS #spatial #mapping #remotesensing #earthobservation #agriculture #farming #crops #croplands #foodresources #statistics #geostatistics #sustainability #global #strategy #methods #model #modeling #research #GPS #precisionagriculture #census #estimation #yields #monitoring #openaccess #opendata #handbook
@UN @FAO -
Handbook On Remote Sensing For Agricultural Statistics, UN [2017]
--
https://openknowledge.fao.org/items/4985ca3d-f1a1-4cef-a7ad-159e7c288de1 <-- link to technical resource
--
[a little older but still very valuable; it would be interesting to see how more recent AI plays into any 2nd edition]
#GIS #spatial #mapping #remotesensing #earthobservation #agriculture #farming #crops #croplands #foodresources #statistics #geostatistics #sustainability #global #strategy #methods #model #modeling #research #GPS #precisionagriculture #census #estimation #yields #monitoring #openaccess #opendata #handbook
@UN @FAO -
Handbook On Remote Sensing For Agricultural Statistics, UN [2017]
--
https://openknowledge.fao.org/items/4985ca3d-f1a1-4cef-a7ad-159e7c288de1 <-- link to technical resource
--
[a little older but still very valuable; it would be interesting to see how more recent AI plays into any 2nd edition]
#GIS #spatial #mapping #remotesensing #earthobservation #agriculture #farming #crops #croplands #foodresources #statistics #geostatistics #sustainability #global #strategy #methods #model #modeling #research #GPS #precisionagriculture #census #estimation #yields #monitoring #openaccess #opendata #handbook
@UN @FAO -
Handbook On Remote Sensing For Agricultural Statistics, UN [2017]
--
https://openknowledge.fao.org/items/4985ca3d-f1a1-4cef-a7ad-159e7c288de1 <-- link to technical resource
--
[a little older but still very valuable; it would be interesting to see how more recent AI plays into any 2nd edition]
#GIS #spatial #mapping #remotesensing #earthobservation #agriculture #farming #crops #croplands #foodresources #statistics #geostatistics #sustainability #global #strategy #methods #model #modeling #research #GPS #precisionagriculture #census #estimation #yields #monitoring #openaccess #opendata #handbook
@UN @FAO -
Forests & Woodlands stored 323 million tonnes of carbon in 2022, up almost 13% on 2012
https://www.cso.ie/en/releasesandpublications/fp/fp-eafaw/ecosystemaccountsforestsandwoodlands2012-2022/?utm_source=MA&utm_medium=MA&utm_campaign=EcoAcsForestsWoods1222
#CSOIreland #Ireland #Environment #EcosystemAccounts #Climate #Ecosystem #EcosystemExtent #Settlements #Grasslands #Croplands #Forests #Woodland #Wetlands -
Forests & Woodlands stored 323 million tonnes of carbon in 2022, up almost 13% on 2012
https://www.cso.ie/en/releasesandpublications/fp/fp-eafaw/ecosystemaccountsforestsandwoodlands2012-2022/?utm_source=MA&utm_medium=MA&utm_campaign=EcoAcsForestsWoods1222
#CSOIreland #Ireland #Environment #EcosystemAccounts #Climate #Ecosystem #EcosystemExtent #Settlements #Grasslands #Croplands #Forests #Woodland #Wetlands -
Forests & Woodlands stored 323 million tonnes of carbon in 2022, up almost 13% on 2012
https://www.cso.ie/en/releasesandpublications/fp/fp-eafaw/ecosystemaccountsforestsandwoodlands2012-2022/?utm_source=MA&utm_medium=MA&utm_campaign=EcoAcsForestsWoods1222
#CSOIreland #Ireland #Environment #EcosystemAccounts #Climate #Ecosystem #EcosystemExtent #Settlements #Grasslands #Croplands #Forests #Woodland #Wetlands -
Forests & Woodlands stored 323 million tonnes of carbon in 2022, up almost 13% on 2012
https://www.cso.ie/en/releasesandpublications/fp/fp-eafaw/ecosystemaccountsforestsandwoodlands2012-2022/?utm_source=MA&utm_medium=MA&utm_campaign=EcoAcsForestsWoods1222
#CSOIreland #Ireland #Environment #EcosystemAccounts #Climate #Ecosystem #EcosystemExtent #Settlements #Grasslands #Croplands #Forests #Woodland #Wetlands -
Forests & Woodlands stored 323 million tonnes of carbon in 2022, up almost 13% on 2012
https://www.cso.ie/en/releasesandpublications/fp/fp-eafaw/ecosystemaccountsforestsandwoodlands2012-2022/?utm_source=MA&utm_medium=MA&utm_campaign=EcoAcsForestsWoods1222
#CSOIreland #Ireland #Environment #EcosystemAccounts #Climate #Ecosystem #EcosystemExtent #Settlements #Grasslands #Croplands #Forests #Woodland #Wetlands -
Rapid Groundwater Decline And Some Cases Of Recovery In Aquifers Globally
--
https://doi.org/10.1038/s41586-023-06879-8 <-- shared paper
--
#GIS #spatial #mapping #global #hydrology #water #waterresources #groundwater #hydrogeology #watersecurity #ecosystems #humanuse #groundwater #pumping #extraction #mining #seawater #salinity #seawaterintrustion #subsidence #groundsubsidence #agriculture #farming #irrigation #monitoring #aquifer #groundwaterlevel #aquiferlevel #spatialanalysis #spatiotemporal #wells #groundwaterwells #monitoringwells #croplands #overuse #streamflow #drywells #groundwaterdepletion #planning #policy #regulations #aquiferrecharge #conservation #watermanagement #waterconservation #surfacewater -
Rapid Groundwater Decline And Some Cases Of Recovery In Aquifers Globally
--
https://doi.org/10.1038/s41586-023-06879-8 <-- shared paper
--
#GIS #spatial #mapping #global #hydrology #water #waterresources #groundwater #hydrogeology #watersecurity #ecosystems #humanuse #groundwater #pumping #extraction #mining #seawater #salinity #seawaterintrustion #subsidence #groundsubsidence #agriculture #farming #irrigation #monitoring #aquifer #groundwaterlevel #aquiferlevel #spatialanalysis #spatiotemporal #wells #groundwaterwells #monitoringwells #croplands #overuse #streamflow #drywells #groundwaterdepletion #planning #policy #regulations #aquiferrecharge #conservation #watermanagement #waterconservation #surfacewater -
Rapid Groundwater Decline And Some Cases Of Recovery In Aquifers Globally
--
https://doi.org/10.1038/s41586-023-06879-8 <-- shared paper
--
#GIS #spatial #mapping #global #hydrology #water #waterresources #groundwater #hydrogeology #watersecurity #ecosystems #humanuse #groundwater #pumping #extraction #mining #seawater #salinity #seawaterintrustion #subsidence #groundsubsidence #agriculture #farming #irrigation #monitoring #aquifer #groundwaterlevel #aquiferlevel #spatialanalysis #spatiotemporal #wells #groundwaterwells #monitoringwells #croplands #overuse #streamflow #drywells #groundwaterdepletion #planning #policy #regulations #aquiferrecharge #conservation #watermanagement #waterconservation #surfacewater -
Rapid Groundwater Decline And Some Cases Of Recovery In Aquifers Globally
--
https://doi.org/10.1038/s41586-023-06879-8 <-- shared paper
--
#GIS #spatial #mapping #global #hydrology #water #waterresources #groundwater #hydrogeology #watersecurity #ecosystems #humanuse #groundwater #pumping #extraction #mining #seawater #salinity #seawaterintrustion #subsidence #groundsubsidence #agriculture #farming #irrigation #monitoring #aquifer #groundwaterlevel #aquiferlevel #spatialanalysis #spatiotemporal #wells #groundwaterwells #monitoringwells #croplands #overuse #streamflow #drywells #groundwaterdepletion #planning #policy #regulations #aquiferrecharge #conservation #watermanagement #waterconservation #surfacewater -
Rapid Groundwater Decline And Some Cases Of Recovery In Aquifers Globally
--
https://doi.org/10.1038/s41586-023-06879-8 <-- shared paper
--
#GIS #spatial #mapping #global #hydrology #water #waterresources #groundwater #hydrogeology #watersecurity #ecosystems #humanuse #groundwater #pumping #extraction #mining #seawater #salinity #seawaterintrustion #subsidence #groundsubsidence #agriculture #farming #irrigation #monitoring #aquifer #groundwaterlevel #aquiferlevel #spatialanalysis #spatiotemporal #wells #groundwaterwells #monitoringwells #croplands #overuse #streamflow #drywells #groundwaterdepletion #planning #policy #regulations #aquiferrecharge #conservation #watermanagement #waterconservation #surfacewater