FOREST AREA DERIVATION FROM SENTINEL-1 DATA

13 citations as recorded by crossref.

1. Green Energy Sources Assessment Using Sentinel-1 Satellite Remote Sensing M. Majidi Nezhad et al.
2. Annual seasonality in Sentinel-1 signal for forest mapping and forest type classification A. Dostálová et al.
3. Dominant woody plant species recognition with a hierarchical model based on multimodal geospatial data for subtropical forests X. Chen & Y. Sun
4. Land cover mapping using Sentinel-1 SAR and Landsat 8 imageries of Lagos State for 2017 E. Makinde & E. Oyelade
5. Multi-sensor modelling of woody vegetation and canopy cover across natural and modified ecosystems S. Stewart et al.
6. The Effect of Forest Mask Quality in the Wall-to-Wall Estimation of Growing Stock Volume E. Vangi et al.
7. Vegetation scenario of Indian part of Ganga Delta: a change analysis using Sentinel-1 time series data on Google earth engine platform B. Halder & J. Bandyopadhyay
8. Object-based mapping and classification features for tropical highlands using on Sentinel-1, Sentinel-2, and GEDI canopy height data - A case study of the Muringato catchment, Kenya M. Goebel et al.
9. Assessing Forest/Non-Forest Separability Using Sentinel-1 C-Band Synthetic Aperture Radar J. Hansen et al.
10. 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.
11. Seasonality and directionality effects on radar backscatter are key to identify mountain forest types with Sentinel-1 data I. Borlaf-Mena et al.
12. The deadliest tropical cyclone ‘Amphan’: investigate the natural flood inundation over south 24 Parganas using google earth engine B. Halder et al.
13. Assessment of Deep Learning Based Image Segmentation for Identifying Floating Net Cages from Very High-Resolution Capella Synthetic Aperture Radar (SAR) Data S. Arjasakusuma & S. Kusuma