An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data
The Normalized Difference Snow Index (NDSI) is an effective index for snow-cover mapping at large scales, but in forested regions the identification accuracy for snow using the NDSI is low because of forest cover effects. In this study, typical evergreen coniferous forest zones on Qilian Mountain in...
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MDPI AG
2015-12-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/7/12/15882 |
| _version_ | 1819003761418305536 |
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| author | Xiao-Yan Wang Jian Wang Zhi-Yong Jiang Hong-Yi Li Xiao-Hua Hao |
| author_facet | Xiao-Yan Wang Jian Wang Zhi-Yong Jiang Hong-Yi Li Xiao-Hua Hao |
| author_sort | Xiao-Yan Wang |
| collection | DOAJ |
| description | The Normalized Difference Snow Index (NDSI) is an effective index for snow-cover mapping at large scales, but in forested regions the identification accuracy for snow using the NDSI is low because of forest cover effects. In this study, typical evergreen coniferous forest zones on Qilian Mountain in the Upper Heihe River Basin (UHRB) were chosen as example regions. By analyzing the spectral signature of snow-covered and snow-free evergreen coniferous forests with Landsat Operational Land Imager (OLI) data, a novel spectral band ratio using near-infrared (NIR) and shortwave infrared (SWIR) bands, defined as (ρnir − ρswir)/(ρnir + ρswir), is proposed. Our research shows that this band ratio, named the normalized difference forest snow index (NDFSI), can be used to effectively distinguish snow-covered evergreen coniferous forests from snow-free evergreen coniferous forests in UHRB. |
| first_indexed | 2024-12-20T23:26:08Z |
| format | Article |
| id | doaj.art-a9e4e0fc4342489ea341a4a21c78d6f2 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T23:26:08Z |
| publishDate | 2015-12-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj.art-a9e4e0fc4342489ea341a4a21c78d6f22022-12-21T19:23:23ZengMDPI AGRemote Sensing2072-42922015-12-01712172461725710.3390/rs71215882rs71215882An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager DataXiao-Yan Wang0Jian Wang1Zhi-Yong Jiang2Hong-Yi Li3Xiao-Hua Hao4College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, ChinaCold & Arid Region Environmental & Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, ChinaCollege of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, ChinaCold & Arid Region Environmental & Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, ChinaCold & Arid Region Environmental & Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, ChinaThe Normalized Difference Snow Index (NDSI) is an effective index for snow-cover mapping at large scales, but in forested regions the identification accuracy for snow using the NDSI is low because of forest cover effects. In this study, typical evergreen coniferous forest zones on Qilian Mountain in the Upper Heihe River Basin (UHRB) were chosen as example regions. By analyzing the spectral signature of snow-covered and snow-free evergreen coniferous forests with Landsat Operational Land Imager (OLI) data, a novel spectral band ratio using near-infrared (NIR) and shortwave infrared (SWIR) bands, defined as (ρnir − ρswir)/(ρnir + ρswir), is proposed. Our research shows that this band ratio, named the normalized difference forest snow index (NDFSI), can be used to effectively distinguish snow-covered evergreen coniferous forests from snow-free evergreen coniferous forests in UHRB.http://www.mdpi.com/2072-4292/7/12/15882remote sensingsnow identificationforestOLI |
| spellingShingle | Xiao-Yan Wang Jian Wang Zhi-Yong Jiang Hong-Yi Li Xiao-Hua Hao An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data Remote Sensing remote sensing snow identification forest OLI |
| title | An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data |
| title_full | An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data |
| title_fullStr | An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data |
| title_full_unstemmed | An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data |
| title_short | An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data |
| title_sort | effective method for snow cover mapping of dense coniferous forests in the upper heihe river basin using landsat operational land imager data |
| topic | remote sensing snow identification forest OLI |
| url | http://www.mdpi.com/2072-4292/7/12/15882 |
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