Classifying vegetation
نویسندگان
چکیده
منابع مشابه
Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types
The Florida Everglades is the largest subtropical wetland system in the United States and, as with subtropical and tropical wetlands elsewhere, has been threatened by severe environmental stresses. It is very important to monitor such wetlands to inform management on the status of these fragile ecosystems. This study aims to examine the applicability of TerraSAR-X quadruple polarimetric (quad-p...
متن کاملClassifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data
a Department of Geography, University of Kansas, 1475 Jayhawk Blvd., 223, Lawrence, KS 66045, United States b Kansas Applied Remote Sensing Program, University of Kansas, 2101 Constant Ave., Lawrence, KS 66047, United States c Embrapa Informática Agropecuária, Av. André Tosello, 209, CP 6041, Campinas, SP 13083-886, Brazil d Embrapa Monitoramento por Satélite, Av. Soldado Passarinho, 303, Fazen...
متن کاملClassifying rangeland vegetation type and coverage using a Fourier component based similarity measure
This paper defines a land cover classification technique based on the annual NDVI cycle. A similarity measure based directly on the components of the Discrete Fourier Transform is used to determine a pixels class membership. This Fourier component similarity measure produces an objective, computationally inexpensive and rapid method of classification that is able to classify rangeland vegetatio...
متن کاملCriteria Comparison for Classifying Peatland Vegetation Types Using In Situ Hyperspectral Measurements
This study aims to evaluate three classes of methods to discriminate between 13 peatland vegetation types using reflectance data. These vegetation types were empirically defined according to their composition, strata and biodiversity richness. On one hand, it is assumed that the same vegetation type spectral signatures have similarities. Consequently, they can be compared to a reference spectra...
متن کاملClassifying rangeland vegetation type and coverage from NDVI time series using Fourier Filtered Cycle Similarity
We present a method for a supervised classification of Normalized Difference Vegetation Index (NDVI) time series that identifies vegetation type and vegetation coverage, absolute in %coverage or relative to a reference NDVI cycle. The shape of the NDVI cycle, which is diagnostic for certain vegetation types, is our primary classifier. A Discrete Fourier Filter is applied to time series data in ...
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ژورنال
عنوان ژورنال: Nature
سال: 1974
ISSN: 0028-0836,1476-4687
DOI: 10.1038/251172b0