FOREST AREA DERIVATION FROM SENTINEL-1 DATA

15 citations as recorded by crossref.

1. Green Energy Sources Assessment Using Sentinel-1 Satellite Remote Sensing M. Majidi Nezhad et al. 10.3389/fenrg.2021.649305
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5. Land cover mapping using Sentinel-1 SAR and Landsat 8 imageries of Lagos State for 2017 E. Makinde & E. Oyelade 10.1007/s11356-019-05589-x
6. Forest Disturbance Mapping with Microwave Remote Sensing K. Kaushik & D. Kumar 10.2478/jlecol-2020-0012
7. The Effect of Forest Mask Quality in the Wall-to-Wall Estimation of Growing Stock Volume E. Vangi et al. 10.3390/rs13051038
8. 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 10.1007/s42797-021-00041-1
9. 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. 10.3112/erdkunde.2023.01.03
10. Assessing the Utility of Sentinel-1 Coherence Time Series for Temperate and Tropical Forest Mapping I. Borlaf-Mena et al. 10.3390/rs13234814
11. Seasonality and directionality effects on radar backscatter are key to identify mountain forest types with Sentinel-1 data I. Borlaf-Mena et al. 10.1016/j.rse.2023.113728
12. Remote Sensing-Based Analysis of Urban Landscape Change in the City of Bucharest, Romania C. Nistor et al. 10.3390/rs13122323
13. Assessing Forest Type and Tree Species Classification Using Sentinel-1 C-Band SAR Data in Southern Sweden A. Udali et al. 10.3390/rs13163237
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15. Potential of Sentinel-1 C-Band Time Series to Derive Structural Parameters of Temperate Deciduous Forests M. Bruggisser et al. 10.3390/rs13040798