کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8866536 1621188 2018 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images
چکیده انگلیسی
Overview of the Synthetic Soil Image (SYSI) generated from 27 years of Landsat 5 Thematic Mapper (TM) data. a) Soil surface variations from SYSI, in the RGB 543 composite. Black regions are missing values. b) View for the same extent in figure a by a single Landsat 5 TM image from 22 Feb 2005, in the RGB 321 composite. c) The 2,5D view of SYSI from figure a. d) Elevation gradient for the same extent in figure c (source: digital elevation model from the Shuttle Radar Thematic Mapper (SRTM)). The purple shades are related to soil types. Black regions are missing values for soil surface reflectance.478
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 212, June 2018, Pages 161-175
نویسندگان
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