Heterogeneous forest classification by creating mixed vegetation classes using EO-1 Hyperion
نویسندگان
چکیده
منابع مشابه
Autonomous Vegetation Cover Scene Classification of Eo-1 Hyperion
Introduction: The Autonomous Sciencecraft Experiment (ASE) is a JPL-led, New Millennium Program mission containing new technology in the form of software to be flown on the Earth Observer-1 (EO1) satellite in early 2004 [1, 2]. This new technology will facilitate an artificially intelligent machine with autonomous science-driven capabilities. Among the ASE flight software is a set of onboard sc...
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In this study, we used a set of hyperspectral Hyperion scenes and assessed the effects of differing spectral and spatial resolutions on MODIS-AVHRR vegetation index (VI) continuity. Hyperion scenes were processed to simulate atmospherically-corrected normalized difference vegetation index (NDVI) and 2-band enhanced vegetation index (EVI2) values at MODIS Climate Modeling Grid (CMG) and AVHRR Gl...
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The objectives of this investigation were to evaluate the EO-1 Hyperion hyperspectral sensor for mapping forest composition and structure in rugged terrain and to compare its performance with that of AVIRIS and the Landsat 7 Enhanced Thematic Mapper Plus (ETM+). The study focused on species composition mapping with Hyperion, AVIRIS, and Landsat using a study site in the Green Ridge State Forest...
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Hyperspectral remote sensing records reflectance or emittance data in a large sum of contiguous and narrow spectral bands, and thus has many information in detecting and mapping the mineral zones. On the other hand, the geological and geophysical data gives us some other fruitful information about the physical characteristics of soil and minerals that have been recorded from the surface. ...
متن کاملCreating Imputation Classes Using Classification Tree Methodology
Virtually all surveys encounter some level of item nonresponse. To address this potential source of bias, practitioners often use imputation to replace missing values with valid values through some form of stochastic modeling. In order to improve the reliabilities of such models, imputation classes are formed to produce homogenous groups of respondents, where homogeneity is measured with respec...
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ژورنال
عنوان ژورنال: International Journal of Remote Sensing
سال: 2017
ISSN: 0143-1161,1366-5901
DOI: 10.1080/01431161.2017.1325529