Topographically derived subpixel-based change detection for monitoring changes over rugged terrain Himalayas using AWiFS data
文献类型：期刊论文
| 作者 | Sood, Vishakha; Gusain, Hemendra Singh; Gupta, Sheifali; Singh, Sartajvir |
| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
 |
| 出版日期 | 2021 |
| 卷号 | 18期号:1页码:126-140 |
| 关键词 | Topographic correction Change vector analysis (CVA) Subpixel-based change detection (SCD) Western Himalayas |
| ISSN号 | 1672-6316 |
| DOI | 10.1007/s11629-020-6151-y |
| 英文摘要 | Continuous and accurate monitoring of earth surface changes over rugged terrain Himalayas is important to manage natural resources and mitigate natural hazards. Conventional techniques generally focus on per-pixel based processing and overlook the sub-pixel variations occurring especially in case of low or moderate resolution remotely sensed data. However, the existing subpixel-based change detection (SCD) models are less effective to detect the mixed pixel information at its complexity level especially over rugged terrain regions. To overcome such issues, a topographically controlled SCD model has been proposed which is an improved version of widely used per-pixel based change vector analysis (CVA) and hence, named as a subpixel-based change vector analysis (SCVA). This study has been conducted over a part of the Western Himalayas using the advanced wide-field sensor (AWiFS) and Landsat-8 datasets. To check the effectiveness of the proposed SCVA, the cross-validation of the results has been done with the existing neural network-based SCD (NN-SCD) and per-pixel based models such as fuzzy-based CVA (FCVA) and post-classification comparison (PCC). The results have shown that SCVA offered robust performance (85.6%-86.4%) as compared to NN-SCD (81.6%-82.4%), PCC (79.2%-80.4%), and FCVA (81.2%-83.6%). We concluded that SCVA helps in reducing the detection of spurious pixels and improve the efficacy of generating change maps. This study is beneficial for the accurate monitoring of glacier retreat and snow cover variability over rugged terrain regions using moderate resolution remotely sensed datasets. |
| 语种 | 英语 |
| WOS记录号 | WOS:000607413000009 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/57152]  |
| 专题 | Journal of Mountain Science_Journal of Mountain Science-2021_Vol18 No.1 |
| 推荐引用方式 GB/T 7714 | Sood, Vishakha,Gusain, Hemendra Singh,Gupta, Sheifali,et al. Topographically derived subpixel-based change detection for monitoring changes over rugged terrain Himalayas using AWiFS data[J]. JOURNAL OF MOUNTAIN SCIENCE,2021,18(1):126-140. |
| APA | Sood, Vishakha,Gusain, Hemendra Singh,Gupta, Sheifali,&Singh, Sartajvir.(2021).Topographically derived subpixel-based change detection for monitoring changes over rugged terrain Himalayas using AWiFS data.JOURNAL OF MOUNTAIN SCIENCE,18(1),126-140. |
| MLA | Sood, Vishakha,et al."Topographically derived subpixel-based change detection for monitoring changes over rugged terrain Himalayas using AWiFS data".JOURNAL OF MOUNTAIN SCIENCE 18.1(2021):126-140. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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