The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen Forests
Despite its perennial canopy, the Amazonian tropical evergreen forest shows significant canopy growth seasonality, which has been represented by optical satellite-based observations. In this paper, a new Microwave Temperature–Vegetation Drought Index (MTVDI) based on Advanced Microwave Scanning Radi...
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MDPI AG
2021-01-01
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Online Access: | https://www.mdpi.com/2072-4292/13/3/339 |
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author | Liyang Liu Xueqin Yang Fanxi Gong Yongxian Su Guangqing Huang Xiuzhi Chen |
author_facet | Liyang Liu Xueqin Yang Fanxi Gong Yongxian Su Guangqing Huang Xiuzhi Chen |
author_sort | Liyang Liu |
collection | DOAJ |
description | Despite its perennial canopy, the Amazonian tropical evergreen forest shows significant canopy growth seasonality, which has been represented by optical satellite-based observations. In this paper, a new Microwave Temperature–Vegetation Drought Index (MTVDI) based on Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) sensors was used to capture the canopy seasonality from 2003 to 2010 in comparison with four climatic dryness indicators (Palmer Drought Severity Index (PDSI), Climatological Water Deficit (CWD), Terrestrial Water Storage (TWS), Vapor Pressure Deficit (VPD)) and two photosynthesis proxies (Enhanced Vegetation Index (EVI) and Solar-Induced chlorophyll Fluorescence (SIF)), respectively. Our results suggest that the MTVDI shows opposite seasonal variability with two photosynthesis proxies and performs better than the four climatic dryness indicators in reflecting the canopy photosynthesis seasonality of tropical forests in the Amazon. Besides, the MTVDI captures wet regions that show green-up during the dry season with mean annual precipitation higher than 2000 mm per year. The MTVDI provides a new way for monitoring the canopy seasonality of tropical forests from microwave signals. |
first_indexed | 2024-03-09T04:13:43Z |
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institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-09T04:13:43Z |
publishDate | 2021-01-01 |
publisher | MDPI AG |
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series | Remote Sensing |
spelling | doaj.art-10c06b8aefd541e7964c7778c34654ac2023-12-03T13:56:59ZengMDPI AGRemote Sensing2072-42922021-01-0113333910.3390/rs13030339The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen ForestsLiyang Liu0Xueqin Yang1Fanxi Gong2Yongxian Su3Guangqing Huang4Xiuzhi Chen5Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, ChinaGuangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, ChinaSchool of Earth Science, Chengdu University of Technology, Chengdu 610059, ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, ChinaGuangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, ChinaSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, ChinaDespite its perennial canopy, the Amazonian tropical evergreen forest shows significant canopy growth seasonality, which has been represented by optical satellite-based observations. In this paper, a new Microwave Temperature–Vegetation Drought Index (MTVDI) based on Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) sensors was used to capture the canopy seasonality from 2003 to 2010 in comparison with four climatic dryness indicators (Palmer Drought Severity Index (PDSI), Climatological Water Deficit (CWD), Terrestrial Water Storage (TWS), Vapor Pressure Deficit (VPD)) and two photosynthesis proxies (Enhanced Vegetation Index (EVI) and Solar-Induced chlorophyll Fluorescence (SIF)), respectively. Our results suggest that the MTVDI shows opposite seasonal variability with two photosynthesis proxies and performs better than the four climatic dryness indicators in reflecting the canopy photosynthesis seasonality of tropical forests in the Amazon. Besides, the MTVDI captures wet regions that show green-up during the dry season with mean annual precipitation higher than 2000 mm per year. The MTVDI provides a new way for monitoring the canopy seasonality of tropical forests from microwave signals.https://www.mdpi.com/2072-4292/13/3/339Microwave Temperature Vegetation Drought Index (MTVDI)tropical evergreen forestscanopy growth indexphotosynthesis seasonalitytropical phenologyAmazon |
spellingShingle | Liyang Liu Xueqin Yang Fanxi Gong Yongxian Su Guangqing Huang Xiuzhi Chen The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen Forests Remote Sensing Microwave Temperature Vegetation Drought Index (MTVDI) tropical evergreen forests canopy growth index photosynthesis seasonality tropical phenology Amazon |
title | The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen Forests |
title_full | The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen Forests |
title_fullStr | The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen Forests |
title_full_unstemmed | The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen Forests |
title_short | The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen Forests |
title_sort | novel microwave temperature vegetation drought index mtvdi captures canopy seasonality across amazonian tropical evergreen forests |
topic | Microwave Temperature Vegetation Drought Index (MTVDI) tropical evergreen forests canopy growth index photosynthesis seasonality tropical phenology Amazon |
url | https://www.mdpi.com/2072-4292/13/3/339 |
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