Quantifying the Sensitivity of NDVI-Based C Factor Estimation and Potential Soil Erosion Prediction using Spaceborne Earth Observation Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73605277" target="_blank" >RIV/61989592:15310/20:73605277 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2072-4292/12/7/1136/htm" target="_blank" >https://www.mdpi.com/2072-4292/12/7/1136/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs12071136" target="_blank" >10.3390/rs12071136</a>

Result language

angličtina

Original language name

Quantifying the Sensitivity of NDVI-Based C Factor Estimation and Potential Soil Erosion Prediction using Spaceborne Earth Observation Data

Original language description

The Normalized Difference Vegetation Index (NDVI), has been increasingly used to capture spatiotemporal variations in cover factor (C) determination for erosion prediction on a larger landscape scale. However, NDVI-based C factor (C-ndvi) estimation per se is sensitive to various biophysical variables, such as soil condition, topographic features, and vegetation phenology. As a result, C-ndvi often results in incorrect values that affect the quality of soil erosion prediction. The aim of this study is to multi-temporally estimate C-ndvi values and compare the values with those of literature values (C-lit) in order to quantify discrepancies between C values obtained via NDVI and empirical-based methods. A further aim is to quantify the effect of biophysical variables such as slope shape, erodibility, and crop growth stage variation on C-ndvi and soil erosion prediction on an agricultural landscape scale. Multi-temporal Landsat 7, Landsat 8, and Sentinel 2 data, from 2013 to 2016, were used in combination with high resolution agricultural land use data of the Integrated Administrative and Control System, from the Uckermark district of north-eastern Germany. Correlations between C-ndvi and C-lit improved in data from spring and summer seasons (up to r = 0.93); nonetheless, the C-ndvi values were generally higher compared with C-lit values. Consequently, modelling erosion using C-ndvi resulted in two times higher rates than modelling with C-lit. The C-ndvi values were found to be sensitive to soil erodibility condition and slope shape of the landscape. Higher erodibility condition was associated with higher C-ndvi values. Spring and summer taken images showed significant sensitivity to heterogeneous soil condition. The C-ndvi estimation also showed varying sensitivity to slope shape variation; values on convex-shaped slopes were higher compared with flat slopes. Quantifying the sensitivity of C-ndvi values to biophysical variables may help improve capturing spatiotemporal variability of C factor values in similar landscapes and conditions.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10618 - Ecology

Project

<a href="/en/project/QK1810233" target="_blank" >QK1810233: Quantification of the impact of farming management on soil erosion, soil quality and yields of crops with proposals of the environmentally friendly cultivation technologies.</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Remote Sensing

ISSN

2072-4292

e-ISSN

—

Volume of the periodical

12

Issue of the periodical within the volume

7

Country of publishing house

CH - SWITZERLAND

Number of pages

25

Pages from-to

"1136-1"-"1136-25"

UT code for WoS article

000537709600086

EID of the result in the Scopus database

2-s2.0-85084262972