کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5780171 | 1635089 | 2017 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Spatial soil organic carbon (SOC) prediction by regression kriging using remote sensing data
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
علوم زمین و سیاره ای (عمومی)
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
The present study has illustrated the estimation of the soil organic carbon (SOC) distribution from point survey data (prepared after laboratory test) by a hybrid interpolation method, viz. regression kriging (RK) in a part of the Narmada river basin in the central India. In this study, eight selected predictor variables are used such as, brightness index (BI), greenness index (GI), wetness index (WI), normalized difference vegetation index (NDVI), vegetation temperature condition index (VTCI), digital elevation model (DEM), and slope and compound topographic index (CTI). The RK method has given satisfactory results as observed from the level of accuracy. Finally, the amount of SOC content in varied slope, soil and landuse categories has been analysed. Concentration of SOC has been observed to be more in low elevated areas in clay soil with mainly agricultural and vegetated lands.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Egyptian Journal of Remote Sensing and Space Science - Volume 20, Issue 1, June 2017, Pages 61-70
Journal: The Egyptian Journal of Remote Sensing and Space Science - Volume 20, Issue 1, June 2017, Pages 61-70
نویسندگان
Arun Mondal, Deepak Khare, Sananda Kundu, Surajit Mondal, Sandip Mukherjee, Anirban Mukhopadhyay,