From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data

The “land use” concept has evolved during recent decades and it is now considered as the socioeconomic function of land. Land use representation and land use change assessment through remote sensing still remains one of the major challenges for the remote sensing scientific community. In this paper...

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Main Authors: Danilo Mollicone, Susana Martínez
Format: Article
Language:English
Published: MDPI AG 2012-04-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/4/4/1024/
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spelling doaj-94ca5623f79849409f24469b72315f172020-11-25T01:58:17ZengMDPI AGRemote Sensing2072-42922012-04-01441024104510.3390/rs4041024From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing DataDanilo MolliconeSusana MartínezThe “land use” concept has evolved during recent decades and it is now considered as the socioeconomic function of land. Land use representation and land use change assessment through remote sensing still remains one of the major challenges for the remote sensing scientific community. In this paper we present a methodological approach based on remote sensing techniques to assess land use in accordance with the requirements of the United Nations Framework Climate Change Convention, UNFCCC (1995). The methodology is based mainly on the recognition of the land key elements and their function and on the adoption of the “predominant land use” criteria in the classification scheme settled by rules. The concept that underpins these rules is that the land use function of land can be expressed through hierarchical relationships among key land elements, and that these functional relationships are based on thresholds reflecting the relevance and predominance of key land elements in the observed area. When analyses are supported by high (10–30 m) or very high ( < 10 m) spatial resolution remote sensing data, the methodology provides a systematic approach for the representation of land use that is consistent with the concepts and methodologies developed by the International Panel on Climate Change(IPCC) to fulfill UNFCCC commitments. In particular, data with high and very high spatial resolution provide good results, with overall accuracies above 87% in the identification of key land elements that characterize land use classes. The methodology could be used to assess land use in any context (e.g., for any land use category or in any country and region) as it is based on the definition of user/project rules that should be tailored on the land use function of any territory.http://www.mdpi.com/2072-4292/4/4/1024/land coverland usekey land elementremote sensingUNFCCC
collection DOAJ
language English
format Article
sources DOAJ
author Danilo Mollicone
Susana Martínez
spellingShingle Danilo Mollicone
Susana Martínez
From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data
Remote Sensing
land cover
land use
key land element
remote sensing
UNFCCC
author_facet Danilo Mollicone
Susana Martínez
author_sort Danilo Mollicone
title From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data
title_short From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data
title_full From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data
title_fullStr From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data
title_full_unstemmed From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data
title_sort from land cover to land use: a methodology to assess land use from remote sensing data
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2012-04-01
description The “land use” concept has evolved during recent decades and it is now considered as the socioeconomic function of land. Land use representation and land use change assessment through remote sensing still remains one of the major challenges for the remote sensing scientific community. In this paper we present a methodological approach based on remote sensing techniques to assess land use in accordance with the requirements of the United Nations Framework Climate Change Convention, UNFCCC (1995). The methodology is based mainly on the recognition of the land key elements and their function and on the adoption of the “predominant land use” criteria in the classification scheme settled by rules. The concept that underpins these rules is that the land use function of land can be expressed through hierarchical relationships among key land elements, and that these functional relationships are based on thresholds reflecting the relevance and predominance of key land elements in the observed area. When analyses are supported by high (10–30 m) or very high ( < 10 m) spatial resolution remote sensing data, the methodology provides a systematic approach for the representation of land use that is consistent with the concepts and methodologies developed by the International Panel on Climate Change(IPCC) to fulfill UNFCCC commitments. In particular, data with high and very high spatial resolution provide good results, with overall accuracies above 87% in the identification of key land elements that characterize land use classes. The methodology could be used to assess land use in any context (e.g., for any land use category or in any country and region) as it is based on the definition of user/project rules that should be tailored on the land use function of any territory.
topic land cover
land use
key land element
remote sensing
UNFCCC
url http://www.mdpi.com/2072-4292/4/4/1024/
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