Potential improvement for forest cover and forest degradation mapping with the forthcoming Sentinel-2 program

12 citations as recorded by crossref.

1. Evaluating the potential of freely available multispectral remotely sensed imagery in mapping American bramble (Rubus cuneifolius) P. Rajah et al. 10.1080/03736245.2018.1461683
2. The impact of selection of reference samples and DEM on the accuracy of land cover classification based on Sentinel-2 data A. Waśniewski et al. 10.1016/j.rsase.2023.101035
3. Using canopy height model derived from UAV imagery as an auxiliary for spectral data to estimate the canopy cover of mixed broadleaf forests M. Miraki & H. Sohrabi 10.1007/s10661-021-09695-7
4. Long-term forest cover and height changes on abandoned agricultural land: An assessment based on historical stereometric images and airborne laser scanning data J. Janus et al. 10.1016/j.ecolind.2020.106904
5. Mapping Canopy Cover in African Dry Forests from the Combined Use of Sentinel-1 and Sentinel-2 Data: Application to Tanzania for the Year 2018 A. Verhegghen et al. 10.3390/rs14061522
6. Forest Cover Mapping Based on a Combination of Aerial Images and Sentinel-2 Satellite Data Compared to National Forest Inventory Data S. Ganz et al. 10.3390/f11121322
7. Mapping Forest Cover Changes using Sentinel-2A Imagery in the Municipality of Zubin Potok, Republic of Kosovo F. Krasniqi & G. Király 10.37045/aslh-2021-0007
8. Enhancement of tree canopy cover for the mapping of forest from the Sentinel-2 imagery V. Mishra et al. 10.1117/1.JRS.16.042403
9. Detecting Pest-Infested Forest Damage through Multispectral Satellite Imagery and Improved UNet++ J. Zhang et al. 10.3390/s22197440
10. Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+ A. Mitchell et al. 10.1186/s13021-017-0078-9
11. Mapping the spatial distribution of the yellowwood tree (Podocarpus henkelii) in the Weza-Ngele forest using the newly launched Sentinel-2 multispectral imager data N. Nzimande et al. 10.1080/03736245.2020.1722211
12. Forest Degradation Assessment Using UAV Optical Photogrammetry and SAR Data A. Singh & S. Kushwaha 10.1007/s12524-020-01232-2