A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

L Zeng, BD Wardlow, D ** burn severity and monitoring CO content in Türkiye's 2021 Wildfires, using Sentinel-2 and Sentinel-5P satellite data on the GEE platform
OS Yilmaz, U Acar, FB Sanli, F Gulgen… - Earth science …, 2023 - Springer
This study investigated forest fires in the Mediterranean of Türkiye between July 28, 2021,
and August 11, 2021. Burn severity maps were produced with the difference normalised …

Scale gaps in landscape phenology: challenges and opportunities

DS Park, EA Newman, IK Breckheimer - Trends in Ecology & Evolution, 2021 - cell.com
Phenology, or the timing of life history events, can be heterogeneous across biological
communities and landscapes and can vary across a wide variety of spatiotemporal scales …

A statistical and spatial analysis of Portuguese forest fires in summer 2016 considering Landsat 8 and Sentinel 2A data

A Teodoro, A Amaral - Environments, 2019 - mdpi.com
Forest areas in Portugal are often affected by fires. The objective of this work was to analyze
the most fire-affected areas in Portugal in the summer of 2016 for two municipalities …

The normalized difference vegetation index (NDVI) of the Zat valley, Marrakech: comparison and dynamics

A Essaadia, A Abdellah, A Ahmed, F Abdelouahed… - Heliyon, 2022 - cell.com
This study presents vegetation land cover map** based on Remote Sensing (RS) data
processing, including satellite imagery scenes from Sentinel-2A, ASTER, and Landsat, in …

Crop type map** from pansharpened Landsat 8 NDVI data: A case of a highly fragmented and intensive agricultural system

JE Ouzemou, A El Harti, R Lhissou… - Remote Sensing …, 2018 - Elsevier
Retrieving crops and their location, as well as their spatial extent, are useful information for
agricultural planning and better management of irrigation water resources as well as for crop …