How good is TanDEM-X 50 m forest/non-forest map? Product validation using temporally corrected geo-browser supplied imagery through Collect Earth
Yazarlar (5)
Doç. Dr. Emre AKTÜRK Kastamonu Üniversitesi, Türkiye
Prof. Dr. Arif Oğuz ALTUNEL Kastamonu Üniversitesi, Türkiye
Ayhan Ateşoğlu Bartin Üniversitesi, Türkiye
Mehmet Seki Karabük Üniversitesi, Türkiye
Serdar Erpay
Bartin Üniversitesi, Türkiye
Bartin Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | International Journal of Geographical Information Science (Q1) | ||
| Dergi ISSN | 1365-8816 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 05-2023 |
| Kabul Tarihi | 12-04-2026 | Yayınlanma Tarihi | – |
| Cilt / Sayı / Sayfa | 37 / 5 / 1041–1068 | DOI | 10.1080/13658816.2023.2183959 |
| Makale Linki | http://dx.doi.org/10.1080/13658816.2023.2183959 | ||
| Özet |
| TanDEM-X Forest/Non-Forest (FNF) map(s) have been one such data focusing on the status of global forest coverage, which has played an essential role in combating climate change. Although the producers have carried out verification and comparison analyses, the need for accuracy assessments in a broader sense creates uncertainties for the users to approve the new data. For this purpose, TanDEM-X 50 m FNF maps were exclusively examined visually through 66,000 test grids within 30 geocells selected from temperate, boreal, and tropical forest zones. Thus, it was aimed to provide product accuracy utilizing visual inspections to the end users of TanDEM-X FNF maps. In addition, Collect Earth (CE) software was used to evaluate the dataset visually, and its advantages or disadvantages were compared with similarly designed studies. Consequently, even though the producers’ data sets were found to have … |
| Anahtar Kelimeler |
| accuracy assessment | Collect Earth | Google Earth Engine | land cover | TanDEM-X FNF |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 18 |
| Web of Science | 15 |
| Scopus | 13 |