Mangrove Species Discrimination in Southern Vietnam Based on in-situ Measured Hyperspectral Reflectance.
|Tên bài báo||Mangrove Species Discrimination in Southern Vietnam Based on in-situ Measured Hyperspectral Reflectance.|
|Tác giả||Hoa Viet Pham, Leon T. Hauser, Giang Nguyen Vu, Binh An Nguyen, Hieu Minh Nguyen, Trang Thi Quynh Nguyen, Toan Quang Le, Long Huu Vu, Ai Thi Huyen Tong, Hong Pham Viet, Hai Le Vu Hong.|
|Đơn vị thực hiện||Trung tâm Nghiên cứu ứng dụng và Triển khai khoa học công nghệ|
|Phân loại||Công bố ngoài nước|
|Tạp chí||International Journal of Geoinformatics|
|Mã tạp chí||ISSN: 1686-6576|
TÓM TẮT BÀI BÁO
The advances in hyperspectral imaging sensors offer unprecedented levels of detail to detect subtle reflectance differences between targets of study. This study assesses the spectral separability of canopies of common mangrove species in Southern Vietnam using a large sample-set of hyperspectral reflectance measured in the field. Data collection has been done under consistent calibration and stable geometric set-ups. Nevertheless, field spectroscopy deals with multitudinous environmental noises as opposed to laboratory spectroscopic setups. Field measurements of canopies are however believed to hold greater relevancy for UAV and satellite remote sensing due a closer resemblance of real-world intra-specific variation and environmental determinants. The present study shows that the large sample-set of hyperspectral data recorded in the field provides a sound base for discrimination common mangrove species – identifying the visible and red-edge as a key regions for species discrimination. This brings us a step further to a comprehensive spectral library for larger scale remote sensing applications of vegetation mapping and the monitoring of species distributions.