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Mapping Plastic Greenhouses Using Spectral Metrics Derived From GaoFen-2 Satellite Data

Shi, Lifeng and Huang, Xianjin and Zhong, Taiyang and Taubenböck, Hannes (2020) Mapping Plastic Greenhouses Using Spectral Metrics Derived From GaoFen-2 Satellite Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 49-59. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2019.2950466. ISSN 1939-1404.

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Official URL: https://ieeexplore.ieee.org/document/8903292

Abstract

Plastic greenhouses are an important hallmark of agricultural progress. To meet the growing demand for vegetable and food, the amount of plastic greenhouses has increased significantly over the past few decades. Remote sensing is considered as a promising data source for taking inventory and Monitoring plastic greenhouses for managing modern agriculture. However, a systematic catalog of number and spatial distribution of plastic greenhouses is mostly inexistent. This is primarily due to the complex land surface characteristics and seasonal changes, which make automated classification based on EO data challenging. Current approaches generally suffer from the susceptibility of approaches toward thresholds and changes in the phenological stage. Besides, they often require an extensive training of models, however, often the necessary amount of training data is inexistent. To address These issues, we suggest an adaptable and universal plastic greenhouse mapping method based on very high spatial resolution optical satellite data (GaoFen-2 image) with a three-step procedure. A plastic greenhouse gathering area (100 km2) is selected for the development of the initial method. We receive a very competitive mapping accuracy 97.34% and the likelihood of plastic greenhouses being mapped correctly reaches to 95.20%. Subsequently, we transfer it to a much larger area (2025 km2) featuring a different phenological stage and different surrounding patterns. The stable mapping accuracy proves the validity of our approach.

Item URL in elib:https://elib.dlr.de/134417/
Document Type:Article
Title:Mapping Plastic Greenhouses Using Spectral Metrics Derived From GaoFen-2 Satellite Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Shi, LifengNanjing UniversityUNSPECIFIED
Huang, XianjinNanjing UniversityUNSPECIFIED
Zhong, TaiyangNanjing UniversityUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126
Date:December 2020
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI :10.1109/JSTARS.2019.2950466
Page Range:pp. 49-59
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Greenhouses, image classification, spectral analysis
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 > Geo Risks and Civil Security
Deposited By: Taubenböck, Dr. Hannes
Deposited On:16 Mar 2020 09:41
Last Modified:01 Mar 2021 09:36

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