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Reference: APAAME_20221103_FB-0239
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE), 2002–2016, part of the Satellite-Derived Environmental Indicators Collection, is a global gridded data set at a spatial resolution of 0.5 degrees that presents trends (rate of change measured in centimeters per year) in freshwater availability based on data obtained from 2002 to 2016 by NASA GRACE. Terrestrial water availability is the sum of groundwater, soil moisture, snow and ice, surface waters, and wet biomass, expressed as an equivalent height of water.
Harvard forest is a NEON core site. NEON will provide free lidar data for 30 years over all of its core sites.
Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE), 2002–2016, part of the Satellite-Derived Environmental Indicators Collection, is a global gridded data set at a spatial resolution of 0.5 degrees that presents trends (rate of change measured in centimeters per year) in freshwater availability based on data obtained from 2002 to 2016 by NASA GRACE. Terrestrial water availability is the sum of groundwater, soil moisture, snow and ice, surface waters, and wet biomass, expressed as an equivalent height of water.
Reference: APAAME_20221115_FBal-165
Photographer: Fadi Bala'wi
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
The Global Development Potential Indices are part of the Land Use Land Cover collection. The data set contains 13 sector-level Development Potential Indices (DPIs) for sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). Each DPI is a 1-km spatially-explicit, global land suitability map that has been validated using locations of planned development as well as examined for uncertainty and sensitivity. This map displays the DPI for photovoltaic solar power, grouped into six 6 classes ranging from very low to very high.
The Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD), 1998-2019, V4.GL.03 consists of annual concentrations (micrograms per cubic meter) of all composition ground-level fine particulate matter (PM2.5). This data set combines AOD retrievals from multiple satellite algorithms including NASA MODerate resolution Imaging Spectroradiometer Collection 6.1 (MODIS C6.1), Multi-angle Imaging SpectroRadiometer Version 23 (MISRv23), MODIS Multi-Angle Implementation of Atmospheric Correction Collection 6 (MAIAC C6), and the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) Deep Blue Version 4. The GEOS-Chem chemical transport model is used to relate this total column measure of aerosol to near-surface PM2.5 concentration. Geographically Weighted Regression (GWR) is used with global ground-based measurements from the World Health Organization (WHO) database to predict and adjust for the residual PM2.5 bias per grid cell in the initial satellite-derived values. This map represents percent change in concentrations of all composition ground-level fine particulate matter from 1998 to 2019 using 5-year averages.
Reference: APAAME_20221123_RHB-0297
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221123_RHB-0283
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221123_FB-0394
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE), 2002–2016, part of the Satellite-Derived Environmental Indicators Collection, is a global gridded data set at a spatial resolution of 0.5 degrees that presents trends (rate of change measured in centimeters per year) in freshwater availability based on data obtained from 2002 to 2016 by NASA GRACE. Terrestrial water availability is the sum of groundwater, soil moisture, snow and ice, surface waters, and wet biomass, expressed as an equivalent height of water.
Reference: APAAME_20221123_RHB-0276
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221103_BT-0316
Photographer: Bashar Tabbah
MAP&LENS
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221123_FB-0395
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221103_FB-0481
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221123_RHB-0278
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221103_RHB-0358
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Alone in the desert
while purple expands
towards equality
mindsets scanned
Still a long way to go.
@CopernicusEU #Sentinel2 2022-06-21
Saudi Arabia.
Reference: APAAME_20221103_RHB-0407
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221103_RHB-0293
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221123_RHB-0289
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
The flow direction layer, generated from the digital elevation model, is very similar looking to hillshading. It can be used as input to generate a flow accumulation layer, which models surface water run-off coalescing into watercourses.
This image shows the value of playing around with different visual representations of elevation data. You can see the clusters of small cinder-cones near the left edge of the image, but also, there seem to be one or two partially formed craters immediately west of Lake Barrine, which is a maar (a lake formed after a phreatomagmatic explosion, i.e. an eruption caused by explosive generation of steam from groundwater coming into contact with hot magma).
The German word maar is etymologically related to the old English word mere, and to the Latin mare, and simply means lake.
The Global Development Potential Indices are part of the Land Use Land Cover collection. The data set contains 13 sector-level Development Potential Indices (DPIs) for sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). Each DPI is a 1-km spatially-explicit, global land suitability map that has been validated using locations of planned development as well as examined for uncertainty and sensitivity. This map displays the DPI for concentrated solar power, grouped into six 6 classes ranging from very low to very high.
Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE), 2002–2016, part of the Satellite-Derived Environmental Indicators Collection, is a global gridded data set at a spatial resolution of 0.5 degrees that presents trends (rate of change measured in centimeters per year) in freshwater availability based on data obtained from 2002 to 2016 by NASA GRACE. Terrestrial water availability is the sum of groundwater, soil moisture, snow and ice, surface waters, and wet biomass, expressed as an equivalent height of water.
Reference: APAAME_20221103_FB-0434
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
The Global Development Potential Indices are part of the Land Use Land Cover collection. The data set contains 13 sector-level Development Potential Indices (DPIs) for sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). Each DPI is a 1-km spatially-explicit, global land suitability map that has been validated using locations of planned development as well as examined for uncertainty and sensitivity. This map displays the DPI for coal, grouped into six 6 classes ranging from very low to very high.
Reference: APAAME_20221115_FBal-157
Photographer: Fadi Bala'wi
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Eruption of the Shiveluch Volcano in the Kamtchatka Penisula, Russia.
The image, acquired on the 3rd of January of 2019 by the Sentinel-2a satellite, shows a ash trail displaced in the direction of the sea, formed probably a few hours before the acqusition, seen in bright red tones. The cloud had moved since then slightly to the north.
Contains modified Copernicus data (2019)
The Global Development Potential Indices are part of the Land Use Land Cover collection. The data set contains 13 sector-level Development Potential Indices (DPIs) for sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). Each DPI is a 1-km spatially-explicit, global land suitability map that has been validated using locations of planned development as well as examined for uncertainty and sensitivity. This map displays the DPI for wind, grouped into six 6 classes ranging from very low to very high.
Reference: APAAME_20221103_BT-0196
Photographer: Bashar Tabbah
MAP&LENS
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
The Global Development Potential Indices are part of the Land Use Land Cover collection. The data set contains 13 sector-level Development Potential Indices (DPIs) for sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). Each DPI is a 1-km spatially-explicit, global land suitability map that has been validated using locations of planned development as well as examined for uncertainty and sensitivity. This map displays the DPI for biofuels, grouped into six 6 classes ranging from very low to very high.
The first mosaic made from my homemade drone (on April 13). I shot video, then took screen shots of the video to make the scenes. Used Microsoft ICE to stitch it all together. Pretty wonky in the end, but I'm actually surprised how well it came out. Also surprised I didn't get arrested.
Reference: APAAME_20221123_RHB-0285
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
The above image is a hill shade generated from high resolution lidar data. Notice that you can pick out elements such as streams and roads in the data.