Open Access
Monitoring Vegetation Systems in the Great Plains with Erts
J. W. Rouse,R. H. Haas,J. A. Schell,D. W. Deering +3 more
- Vol. 351, pp 309
TLDR
In this paper, a method has been developed for quantitative measurement of vegetation conditions over broad regions using ERTS-1 spectral bands 5 and 7, corrected for sun angle, which is shown to be correlated with aboveground green biomass on rangelands.Abstract:
The Great Plains Corridor rangeland project utilizes natural vegetation systems as phenological indicators of seasonal development and climatic effects upon regional growth conditions. A method has been developed for quantitative measurement of vegetation conditions over broad regions using ERTS-1 MSS data. Radiance values recorded in ERTS-1 spectral bands 5 and 7, corrected for sun angle, are used to compute a band ratio parameter which is shown to be correlated with aboveground green biomass on rangelands.read more
Citations
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Journal ArticleDOI
Application of remote-sensing data and decision-tree analysis to mapping salt-affected soils over large areas.
A. A. Elnaggar,Jay S. Noller +1 more
TL;DR: DTA is a promising approach for mapping soil salinity in more productive and accurate ways compared to only using remote-sensing analysis.
Journal ArticleDOI
Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data
TL;DR: It is concluded that highly accurate tree species classifications can be obtained from hyperspectral data covering the visible and near-infrared parts of the electromagnetic spectrum.
Book
Remote Sensing Image Processing
TL;DR: All the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, data coding, restoration and enhancement, source unmixing, data fusion or feature selection and extraction.
Journal ArticleDOI
A Novel Machine Learning Method for Estimating Biomass of Grass Swards Using a Photogrammetric Canopy Height Model, Images and Vegetation Indices Captured by a Drone
TL;DR: In this article, a machine learning technique for the estimation of canopy height and biomass of grass swards utilizing multispectral photogrammetric camera data was developed and assessed.
Journal ArticleDOI
Evaluation of Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and Moderate Resolution Imaging Spectrometer (MODIS) measures of live fuel moisture and fuel condition in a shrubland ecosystem in southern California
TL;DR: In this article, the authors investigated the empirical relationship between field-measured LFM and remotely sensed greenness and moisture measures from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and the moderate resolution imaging Spectrometers (MODIS).