FORAGES

M-GEO
M-SE
FORAGES

Exploring the Link Between Vegetation Land Cover Classes and Airborne Thermal Hyperspectral Data in Mixed Temperate Forest

Thermal remote sensing is a type of passive remote sensing since that detects naturally emitted radiation. Most thermal remote sensing for vegetation conducted in the 8-14 μm wavelengths.

M-GEO
M-SE
FORAGES

Sentinel-1 time series data for crop identifications/discriminations

To inform policymakers about the agricultural landscapes and food production, accurate and timely monitoring of crop type is required.

M-GEO
M-SE
FORAGES

Predicting Crop Yield with Hyperspectral versus Multispectral Broadband Image Data

Farmers, agronomists, private enterprise and policy-makers need to know field conditions with sufficient early-warning.

M-GEO
M-SE
FORAGES

Comparison of Leaf Area Index Prediction Accuracy using thermal Infrared Data from Unmanned Aerial Vehicle and Satellite Images

LAI is one of the most critical vegetation biophysical variables as well as remote sensing- enabled essential biodiversity variables due to the controlling role of green leaves in biological and ph

M-GEO
M-SE
FORAGES

Sentinel-2 data for estimation of forest net primary productivity

Primary production is the growth or accumulated rate of biomass in plants.

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