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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Comparison of machine learning algorithms random forest, artificial neural network and support vector machine to maximum likelihood for supervised crop type classification
TL;DR: Three different state-of-the-art machine learning classifiers, namely Support Vector Machine (SVM), Artificial Neural Network (ANN) and Random Forest (RF) as well as the traditional classification method Maximum Likelihood (ML) among each other are compared.
Journal ArticleDOI
Estimation of Sediment Yield and Areas of Soil Erosion and Deposition for Watershed Prioritization using GIS and Remote Sensing
Manoj Kumar Jain,Debjyoti Das +1 more
TL;DR: In this article, a Geographical Information System (GIS) based method is proposed and demonstrated for the identification of sediment source and sink areas and the prediction of sediment yield from watersheds.
Book ChapterDOI
Introduction to Hydrology
Jose D. Salas,Rao S. Govindaraju,Michael L. Anderson,Mazdak Arabi,Félix Francés,Wilson Suarez,Waldo S. Lavado-Casimiro,Timothy R. Green,Timothy R. Green +8 more
TL;DR: In this paper, the authors focus on recent developments particularly on the role that atmospheric and climatic processes play in hydrology, the advances in hydrologic modeling of watersheds, the experiences in applying statistical concepts and laws for dealing with risk and uncertainty and the challenges encountered in dealing with nonstationarity, and the use of newer technology (particularly spaceborne sensors) for detecting and estimating the various components of the hydrological cycle such as precipitation, soil moisture, and evapotranspiration.
Journal ArticleDOI
Assessing the effects of slope gradient and land use change on soil quality degradation through digital mapping of soil quality indices and soil loss rate
TL;DR: In this paper, soil quality indices (SQIs) were developed by quantifying several soil properties to discriminate the effects of slope gradient and land use change on soil quality in 480 km2 of agricultural land in Kurdistan Province, Iran.
Journal ArticleDOI
Non-Lambertian Effects on Remote Sensing of Surface Reflectance and Vegetation Index
Tae Young Lee,Yoram J. Kaufman +1 more
TL;DR: In this article, the effects of non-Lambertian reflection from a homogeneous surface on remote sensing of the surface reflectance and vegetation index from a satellite were discussed.