Satellite data can gauge the health of plants, which is a good indicator of drought. The Normalized Difference Vegetation Index (NDVI) measures how dense and green plant leaves are. NDVI images are useful as a measure of drought when compared to "normal" plant health. Scientists calculate average NDVI values for an area to find out what is normal at a particular time of year. This animation uses satellite imagery to show changes in vegetation between 1999 and 2003. In 2002, drought had settled across the Midwest. Large dark brown sections of eastern Colorado show where vegetation was less lush and healthy than normal. This version of the visualization is a wide view showing the western United States. The data were measured by the vegetation...
Drought is a weather related natural disaster that occurs in virtually all climatic zones of the wor...
The most commonly used normalized difference vegetation index (NDVI) from remote sensing often fall ...
Accurate and timely prediction of vegetation conditions enhances knowledge-based decision making for...
The product that generated these images is the Normalized Difference Vegetation Index (NDVI), which ...
The potential contribution of easily accessible satellite data to the detection and quantification o...
Drought is a weather related natural disaster that occurs in virtually all climatic zones of the wor...
Drought is a normal, recurring feature of climate in most parts of the world (Wilhite, 2000) that ad...
Droughts have spatial and temporal variations. Soil moisture data from the VIC (variable infiltratio...
We examined the relationship between satellite measurements of solar-induced chlorophyll fluorescenc...
We examined the relationship between satellite measurements of solar-induced chlorophyll fluorescenc...
We compare microwave GPS and optical-based remote sensing observations of the vegetation response to...
The value of satellite remote sensing for drought monitoring was first realized more than two decade...
AbstractIn this study we propose a validation method for the Meteosat SEVIRI derived NDVI values in ...
Droughts are a recurrent part of our climate, and are still considered to be one of the most complex...
The Southwest arid region of the United States is facing an unprecedented ‘megadrought’ which has re...
Drought is a weather related natural disaster that occurs in virtually all climatic zones of the wor...
The most commonly used normalized difference vegetation index (NDVI) from remote sensing often fall ...
Accurate and timely prediction of vegetation conditions enhances knowledge-based decision making for...
The product that generated these images is the Normalized Difference Vegetation Index (NDVI), which ...
The potential contribution of easily accessible satellite data to the detection and quantification o...
Drought is a weather related natural disaster that occurs in virtually all climatic zones of the wor...
Drought is a normal, recurring feature of climate in most parts of the world (Wilhite, 2000) that ad...
Droughts have spatial and temporal variations. Soil moisture data from the VIC (variable infiltratio...
We examined the relationship between satellite measurements of solar-induced chlorophyll fluorescenc...
We examined the relationship between satellite measurements of solar-induced chlorophyll fluorescenc...
We compare microwave GPS and optical-based remote sensing observations of the vegetation response to...
The value of satellite remote sensing for drought monitoring was first realized more than two decade...
AbstractIn this study we propose a validation method for the Meteosat SEVIRI derived NDVI values in ...
Droughts are a recurrent part of our climate, and are still considered to be one of the most complex...
The Southwest arid region of the United States is facing an unprecedented ‘megadrought’ which has re...
Drought is a weather related natural disaster that occurs in virtually all climatic zones of the wor...
The most commonly used normalized difference vegetation index (NDVI) from remote sensing often fall ...
Accurate and timely prediction of vegetation conditions enhances knowledge-based decision making for...