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
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Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data
TL;DR: In this paper, a simple remote sensing-based gross primary production (GPP) model was proposed to quantify daily GPP of maize using shortwave radiation (SW) and smoothed Wide Dynamic Range Vegetation Index (WDRVI) data derived from MODIS 250m observations.
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Determining variable weights for an Optimal Scaled Drought Condition Index (OSDCI): Evaluation in Central Asia
Hao Guo,Anming Bao,Tie Liu,Felix Ndayisaba,Liangliang Jiang,Guoxiong Zheng,Tao Chen,Philippe De Maeyer +7 more
TL;DR: In this article, the authors proposed an optimal scaled Drought condition index (OSDCI) using an alternative Global Satellite Mapping of Precipitation (GSMaP) as precipitation input, adding a varied lag time between precipitation and vegetation response, determining the optimal weights of variables and revising the severity classification.
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ECOCLIMAP-II: An ecosystem classification and land surface parameters database of Western Africa at 1 km resolution for the African Monsoon Multidisciplinary Analysis (AMMA) project
TL;DR: The ECOCLIMAP-II database for Western Africa as discussed by the authors is an upgrade for this region of the former initiative, implemented at global scale, which is a dual database at 1 km resolution that comprises an ecosystem classification and a coherent set of land surface parameters.
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A MODIS-Based Novel Method to Distinguish Surface Cyanobacterial Scums and Aquatic Macrophytes in Lake Taihu
TL;DR: A new cyanobacteria and macrophytes index (CMI) is developed based on a blue, a green, and a shortwave infrared band to separate waters with cyanobacterial scums from those dominated by aquatic Macrophytes and a turbid water index (TWI) to avoid interference from high turbid waters typical of shallow lakes.
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Corn Grain Yield Estimation from Vegetation Indices, Canopy Cover, Plant Density, and a Neural Network Using Multispectral and RGB Images Acquired with Unmanned Aerial Vehicles
Héctor García-Martínez,Héctor Flores-Magdaleno,Roberto Ascencio-Hernández,Abdul Khalil-Gardezi,Leonardo Tijerina-Chávez,Oscar Raúl Mancilla-Villa,Mario Alberto Vázquez-Peña +6 more
TL;DR: In this paper, different multispectral and red-green-blue (RGB) vegetation indices were analyzed, as well as the digitally estimated canopy cover and plant density, in order to estimate corn grain yield using a neural network model.