Search
Now showing items 1-8 of 8
Comparison of four EVI-based models for estimating gross primary production of maize and soybean croplands and tallgrass prairie under severe drought
Accurate estimation of gross primary production (GPP) is critical for understanding ecosystem response to climate
variability and change. Satellite-based diagnostic models, which use satellite images and/or climate data
as ...
Landsat 8 Tool
Geodata
Mapping Pest and Disease Risks in Agriculture
Mapping Pest and Disease Risks in Agriculture
Modeling gross primary production of paddy rice cropland through analyses of data from CO2 eddy flux tower sites and MODIS images
Accurate information on the gross primary production (GPP) of paddy rice cropland is critical for assessing and monitoring rice growing conditions. The eddy co-variance technique was used to measure net ecosystem ex- change ...
Sensitivity of vegetation indices and gross primary production of tallgrass prairie to severe drought
Drought affects vegetation photosynthesis and growth.Many studies have used the normalized difference vegetation
index (NDVI), which is calculated as the normalized ratio between near infrared and red spectral bands ...
Role of geoinformatics in ensuing global food security with special reference to dryland agroecosystems
Agriculture plays an important role in providing
food security in developing countries. Better agricultural
information is one of the key factors in understanding current
trends and status that determine food security from ...
Precision Agriculture Platform (Stage 1, Beta)
Precision Agriculture Platform (Stage 1, Beta)
Spectral Reflectance Models for Characterizing Winter Wheat Genotypes
Optimum wheat (Triticum aestivum L.) yield can be achieved by
developing and growing the best genotypes in the most suited
environments. However, exhaustive field measurements are
required to characterize plants with ...