| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2024-05-07 |
| タイトル |
|
|
タイトル |
Mapping lichen abundance in ice-free areas of Larsemann Hills, East Antarctica using remote sensing and lichen spectra |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Lichen |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Spectra |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Random forest |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Antarctica |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 著者 |
Singh Chandra Prakash
Joshi Harsh
Kakadiya Dhruvkumar
Bhatt Malay S.
Bajpai Rajesh
Paul Ramya Ranjan
Upreti D.K.
Saini Shailendra
Beg Mirza Javed
Pande Anant
Tripathi Naveen
Tomar Kiledar Singh
Oza Sandip R.
Pandya Mehul R.
Bhattacharya Bimal K.
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Lichen communities are known to be most resistant and adapted organisms to the extreme environments; however, their abundance is not well mapped. Extensive lichen surveys were conducted as part of the 39th Indian scientific expedition and in-situ spectra (350 nm–2500 nm) of lichens were collected in the Larsemann Hills, East Antarctica during austral summer of 2020. Lichen abundance mapping was carried out with the help of Sentinel-2 MSI L2 data and surveyed records along with in-situ spectra. We generated feature collections for lichen, snow, water, bare surface and trained a random forest (RF) classification algorithms implemented in GEE and generated multi-class outputs. We finally merged all non-lichen classes and produced binary pixels with a confidence value (between 0 and 100) depicting similarity of its spectral response to that of a lichen pixel. Total 92 lichen points, 20 bare rock points, 26 points of water and 74 snow points were used to generate the probabilistic lichen abundance map. Resubstitution accuracy of 97.31% was obtained with 10 number of RF trees. Validation was done with geotagged ground photographs having 232 lichens, 20 bare rocks, 22 water and 69 snow points and achieved test accuracy of 82.44%. |
|
言語 |
en |
| 書誌情報 |
en : Polar Science
巻 38,
p. 100976,
発行日 2023-12-31
|
| ISSN |
|
|
収録物識別子タイプ |
PISSN |
|
収録物識別子 |
1873-9652 |
| ISSN |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
1876-4428 |
| DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1016/j.polar.2023.100976 |
|
|
関連名称 |
10.1016/j.polar.2023.100976 |
| 出版タイプ |
|
|
出版タイプ |
NA |
|
出版タイプResource |
http://purl.org/coar/version/c_be7fb7dd8ff6fe43 |
