The use of remote sensing to detect the consequences of erosion in gypsiferous soils
作者机构：Geology and Geochemistry DepartmentAutonomous University of MadridCalle Francisco Tomás y Valiente728040MadridSpain Department of Applied Research and Agrarian ExtensionIMIDRAFinca El Encín.Carretera A-2Km 38.8.Alcaláde Henares28800MadridSpain
出 版 物：《International Soil and Water Conservation Research》 (国际水土保持研究（英文）)
年 卷 期：2020年第8卷第4期
页 面：383-392页
核心收录：
学科分类：082802[工学-农业水土工程] 090707[农学-水土保持与荒漠化防治] 0907[农学-林学] 08[工学] 0828[工学-农业工程] 09[农学] 0815[工学-水利工程]
基 金：the Project ACCION,and is part of the Operative Group Lenosot supported by the Rural Development Programme 2014-2020 of the Comunidad de Madrid Government(Spain)
主 题：Tillage Erosion NDVI Gypsum Remote sensing Soil color
摘 要：Tillage practices on sloping ground often result in unsustainable soil losses impairing soil functions such as crop productivity,water and nutrients storage,and soil organic carbon(SOC)sequestration.A sloping olive grove(10%)was planted in shallow gypsiferous soils in *** was managed by minimum tillage;the most frequent management practice in central *** consequences of erosion were studied in soil samples(at 0-10,10-20,and 20-30 cm depths)by analyzing SOC,available water and gypsum content,and by detecting spectral signatures using an ASD FieldSpecPro(R)VIS/*** Brightness index(BI),Shape index(FI),and Normalized Difference Vegetation Index(NDVI)were derived from the ASD spectral signatures and from remote sensing(Sentinel-2 image)*** development of these young olive trees was estimated from the measured diameter of the trunks(17±18 cm diameter).In 20-30 cm of the soil,the carbon stock(38±18 Mg ha-1)as well as the available water content(12±6%)was scarce,affecting the productivity of the olive *** above-mentioned indices obtained from the laboratory samples and the pixels of the Sentinel-2 image were significantly(p0.01)correlated,with a correlation coefficient of around *** BI was related to the gypsum content and the slope of the *** FI was related to the carbon and water *** NDVI derived from the satellite image identified the influence of soil degradation on the trees and the carbon *** spatialtemporal changes of the indices might help in tracking soil changes over time.
维普期刊数据库