DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Irrigation Mapping at Different Spatial Scales: Areal Change with Resolution Explained by Landscape Metrics

Meier, Jonas and Mauser, Wolfram (2023) Irrigation Mapping at Different Spatial Scales: Areal Change with Resolution Explained by Landscape Metrics. Remote Sensing, 15 (315), pp. 1-14. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15020315. ISSN 2072-4292.

[img] PDF - Published version

Official URL: https://mdpi-res.com/d_attachment/remotesensing/remotesensing-15-00315/article_deploy/remotesensing-15-00315.pdf?version=1672913025


The monitoring of irrigated areas still represents a complex and laborious challenge in land use classification. The extent and location of irrigated areas vary in both methodology and scale. One major reason for discrepancies is the choice of spatial resolution. This study evaluates the influence of spatial resolution on the mapped extent and spatial patterns of irrigation using an NDVI threshold approach with Sentinel-2 and operational PROBA-V data. The influence of resolution on irrigation mapping was analyzed in the USA, China and Sudan to cover a broad range of agricultural systems by comparing results from original 10 m Sentinel-2 data with mapped coarser results at 20 m, 40 m, 60 m, 100 m, 300 m, 600 m and 1000 m and with results from PROBA-V. While the mapped irrigated area in China is constant independent of resolution, it decreases in Sudan (−29%) and the USA (−48%). The differences in the mapping result can largely be explained by the spatial arrangement of the irrigated pixels at a fine resolution. The calculation of landscape metrics in the three regions shows that the Landscape Shape Index (LSI) can explain the loss of irrigated area from 10 m to 300 m (r > 0.9).

Item URL in elib:https://elib.dlr.de/193019/
Document Type:Article
Title:Irrigation Mapping at Different Spatial Scales: Areal Change with Resolution Explained by Landscape Metrics
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Meier, JonasUNSPECIFIEDhttps://orcid.org/0000-0002-0827-0406UNSPECIFIED
Date:5 January 2023
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1-14
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:irrigation mapping; land use classification; Sentinel-2; NDVI; rescaling technique; spatial resolution; scaling relation; land monitoring; sensor resolution; landscape metrics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Meier, Jonas
Deposited On:17 Jan 2023 12:21
Last Modified:24 Jan 2023 12:56

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.