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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Evaluating MODIS data for mapping wildlife habitat distribution
TL;DR: In this paper, the authors compare two different data sets from different sensors, including the Landsat Thematic Mapper (TM) and the Digital Elevation Model (DEM), to map the spatial distribution of the giant panda habitat in Wolong Nature Reserve, China.
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Diagnostic tools for nearest neighbors techniques when used with satellite imagery
TL;DR: Graphical diagnostic tools are proposed to evaluate the assumptions and to address issues of bias, homoscedasticity, influential observations, outliers, and extrapolations in nearest neighbor techniques.
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Fire severity and soil erosion susceptibility mapping using multi-temporal Earth Observation data: The case of Mati fatal wildfire in Eastern Attica, Greece.
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Airborne based spectroscopy of red and far-red sun-induced chlorophyll fluorescence: Implications for improved estimates of gross primary productivity
Sebastian Wieneke,Hella Ellen Ahrends,Alexander Damm,Francisco de Assis de Carvalho Pinto,Anja Stadler,Micol Rossini,Uwe Rascher +6 more
TL;DR: In this paper, the complementary information content of chlorophyll fluorescence (F) and its relation to changes in photosynthetic activity compared to traditional remote sensing (RS) approaches is investigated.
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Broadleaf species recognition with in situ hyperspectral data
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