ESTIMATING LEAF AREA INDEX OF RIVERINE VEGETATION USING HYPERSPECTRAL REMOTE SENSING AND VEGETATION INDEX

Estimating Crop Coefficients Using Remote Sensing-Based Vegetation Index

Crop coefficient (Kc)-based estimation of crop evapotranspiration is one of the most commonly used methods for irrigation water management. However, uncertainties of the generalized dual crop coefficient (Kc) method of the Food and Agricultural Organization of the United Nations Irrigation and Drainage Paper No. 56 can contribute to crop evapotranspiration estimates that are substantially diffe...

Hyperspectral Vegetation Indices for Estimation of Leaf Area Index

Spectral vegetation indices are frequently used to estimate vegetation biophysical/biochemical characteristics. In general they have been proposed to reduce spectral effects caused by external factors such as the atmosphere and the soil background. This study evaluated narrow band vegetation indices for estimation of vegetation leaf area index. The study takes advantage of using a dataset colle...

Estimating leaf area index of salt marsh vegetation using airborne hyperspectral data

Disclaimer This document describes work undertaken as part of a programme of study at the International Institute for Geo-information Science and Earth Observation. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the institute. Abstract Information on Leaf area index (LAI) can be important for an improved understan...

Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data

Field spectrometer data and leaf area index (LAI) measurements were collected on the same day as the Earth Observing 1 satellite overpass for a study site in the Patagonia region of Argentina. We first simulated the total at-sensor radiances using MODTRAN 4 for atmospheric correction. Then ground spectroradiometric measurements were used to improve the retrieved reflectance for each pixel on th...

Comparison of different vegetation indices for the remote assessment of green leaf area index of crops