Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region
Land cover is a fundamental component of crucial importance in the earth sciences. To date, many excellent international teams have created a variety of land cover products covering the entire globe. To provide a reference for researchers studying the Arctic, this paper evaluates four commonly used...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2019
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs11121396 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/11/12/1396/ |
---|---|
record_format |
openpolar |
spelling |
ftmdpi:oai:mdpi.com:/2072-4292/11/12/1396/ 2023-08-20T04:03:32+02:00 Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region Li Liang Qingsheng Liu Gaohuan Liu He Li Chong Huang agris 2019-06-12 application/pdf https://doi.org/10.3390/rs11121396 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs11121396 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 12; Pages: 1396 global land cover dataset spatial agreement spatial variation in accuracy Arctic Text 2019 ftmdpi https://doi.org/10.3390/rs11121396 2023-07-31T22:21:02Z Land cover is a fundamental component of crucial importance in the earth sciences. To date, many excellent international teams have created a variety of land cover products covering the entire globe. To provide a reference for researchers studying the Arctic, this paper evaluates four commonly used land cover products. First, we compare and analyze the four land cover products from the perspectives of land cover type, distribution and spatial heterogeneity. Second, we evaluate the accuracy of such products by using two sets of sample points collected from the Arctic region. Finally, we obtain the spatial consistency distribution of the products by means of superposition analysis. The results show the following: (a) among the four land cover products, Climate Change Initiative Land Cover (CCI-LC) has the highest overall accuracy (63.5%) in the Arctic region, GlobeLand30 has an overall accuracy of 62.2% and the overall accuracy of the Global Land Cover by the National Mapping Organization (GLCNMO) is only 48.8%. When applied in the Arctic region, the overall accuracy of the Moderate Resolution Imaging Spectroradiometer (MODIS) is only 29.5% due to significant variances. Therefore, MODIS and GLCNMO are not recommended in Arctic-related research as their use may lead to major errors. (b) An evaluation of the consistency of the four products indicates that the classification of the large-scale homogeneous regions in the Arctic yields satisfactory results, whereas the classification results in the forest–tundra ecotone are unsatisfactory. The results serve as a reference for future research. (c) Among the four products, GlobeLand30 is the best choice for analyzing finely divided and unevenly distributed surface features such as waters, urban areas and cropland. Climate Change Initiative Land Cover (CCI-LC) has the highest overall accuracy, and its classification accuracy is relatively higher for forests, shrubs, sparse vegetation, snow/ice and water. GlobeLand30 and CCI-LC do not vary much from each other in terms of ... Text Arctic Climate change Tundra MDPI Open Access Publishing Arctic Remote Sensing 11 12 1396 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
global land cover dataset spatial agreement spatial variation in accuracy Arctic |
spellingShingle |
global land cover dataset spatial agreement spatial variation in accuracy Arctic Li Liang Qingsheng Liu Gaohuan Liu He Li Chong Huang Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region |
topic_facet |
global land cover dataset spatial agreement spatial variation in accuracy Arctic |
description |
Land cover is a fundamental component of crucial importance in the earth sciences. To date, many excellent international teams have created a variety of land cover products covering the entire globe. To provide a reference for researchers studying the Arctic, this paper evaluates four commonly used land cover products. First, we compare and analyze the four land cover products from the perspectives of land cover type, distribution and spatial heterogeneity. Second, we evaluate the accuracy of such products by using two sets of sample points collected from the Arctic region. Finally, we obtain the spatial consistency distribution of the products by means of superposition analysis. The results show the following: (a) among the four land cover products, Climate Change Initiative Land Cover (CCI-LC) has the highest overall accuracy (63.5%) in the Arctic region, GlobeLand30 has an overall accuracy of 62.2% and the overall accuracy of the Global Land Cover by the National Mapping Organization (GLCNMO) is only 48.8%. When applied in the Arctic region, the overall accuracy of the Moderate Resolution Imaging Spectroradiometer (MODIS) is only 29.5% due to significant variances. Therefore, MODIS and GLCNMO are not recommended in Arctic-related research as their use may lead to major errors. (b) An evaluation of the consistency of the four products indicates that the classification of the large-scale homogeneous regions in the Arctic yields satisfactory results, whereas the classification results in the forest–tundra ecotone are unsatisfactory. The results serve as a reference for future research. (c) Among the four products, GlobeLand30 is the best choice for analyzing finely divided and unevenly distributed surface features such as waters, urban areas and cropland. Climate Change Initiative Land Cover (CCI-LC) has the highest overall accuracy, and its classification accuracy is relatively higher for forests, shrubs, sparse vegetation, snow/ice and water. GlobeLand30 and CCI-LC do not vary much from each other in terms of ... |
format |
Text |
author |
Li Liang Qingsheng Liu Gaohuan Liu He Li Chong Huang |
author_facet |
Li Liang Qingsheng Liu Gaohuan Liu He Li Chong Huang |
author_sort |
Li Liang |
title |
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region |
title_short |
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region |
title_full |
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region |
title_fullStr |
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region |
title_full_unstemmed |
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region |
title_sort |
accuracy evaluation and consistency analysis of four global land cover products in the arctic region |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11121396 |
op_coverage |
agris |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Tundra |
genre_facet |
Arctic Climate change Tundra |
op_source |
Remote Sensing; Volume 11; Issue 12; Pages: 1396 |
op_relation |
Environmental Remote Sensing https://dx.doi.org/10.3390/rs11121396 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs11121396 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
12 |
container_start_page |
1396 |
_version_ |
1774713927433715712 |