Results 41 to 50 of about 107,208 (208)

Detecting Multi-Decadal Changes in Seagrass Cover in Tauranga Harbour, New Zealand, Using Landsat Imagery and Boosting Ensemble Classification Techniques

open access: yesISPRS International Journal of Geo-Information, 2021
Seagrass provides a wide range of essential ecosystem services, supports climate change mitigation, and contributes to blue carbon sequestration. This resource, however, is undergoing significant declines across the globe, and there is an urgent need to ...
Nam-Thang Ha   +3 more
doaj   +1 more source

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models

open access: yesCoRR
The Landsat program offers over 50 years of globally consistent Earth imagery. However, the lack of benchmarks for this data constrains progress towards Landsat-based Geospatial Foundation Models (GFM). In this paper, we introduce Landsat-Bench, a suite of three benchmarks with Landsat imagery that adapt from existing remote sensing datasets -- EuroSAT-
Isaac Corley   +2 more
openaire   +3 more sources

Exploring the Impact of Various Spectral Indices on Land Cover Change Detection Using Change Vector Analysis: A Case Study of Crete Island, Greece

open access: yesRemote Sensing, 2020
The main objective of this study was to explore the impact of various spectral indices on the performance of change vector analysis (CVA) for detecting the land cover changes on the island of Crete, Greece, between the last two decades (1999−2009 ...
Christos Polykretis   +2 more
doaj   +1 more source

Wildfires Vegetation Recovery through Satellite Remote Sensing and Functional Data Analysis

open access: yesMathematics, 2021
In recent years, wildfires have caused havoc across the world, which are especially aggravated in certain regions due to climate change. Remote sensing has become a powerful tool for monitoring fires, as well as for measuring their effects on vegetation ...
Feliu Serra-Burriel   +2 more
doaj   +1 more source

Landsat-based map of the vegetation cover of the Perm region

open access: yes, 2022
This dataset presents the first Landsat-based map of the vegetation cover for the Perm region (Russia). Initial Landsat images were obtained in 2016-2020.
Andrey Shikhov (8664123)   +1 more
core   +1 more source

Landsat-MODIS image fusion and object-based image analysis for observing flood inundation in a heterogeneous vegetated scene

open access: yesGIScience & Remote Sensing, 2019
Typhoon flooding normally occurs suddenly with short duration, and the thick cloud cover limits the ability of one single satellite to timely capture the inundation extent.
Phuong D. Dao   +2 more
doaj   +1 more source

Estimation of Fuel Water Content in the Forest Ecotone of Guangzhou Based on the PROSAIL Model

open access: yesRedai dili, 2023
Fuel moisture content (FMC), which is the ratio of equivalent water thickness (EWT) to dry matter content (DMC), plays a crucial role in the estimation of vegetation ignition probability and the fire propagation rate.
Wen Hongrui   +5 more
doaj   +1 more source

Rice crop phenology mapping at high spatial and temporal resolution using downscaled MODIS time-series

open access: yesGIScience & Remote Sensing, 2018
Satellite data holds considerable potential as a source of information on rice crop growth which can be used to inform agronomy. However, given the typical field sizes in many rice-growing countries such as China, data from coarse spatial resolution ...
Alex O. Onojeghuo   +5 more
doaj   +1 more source

Impacts of the CZU Lightning Complex Fire of August 2020 on the forests of Big Basin Redwoods State Park

open access: yesCalifornia Fish and Wildlife Journal, 2023
The CZU Lightning Complex Fire started on 16 August 2020 and burned across more than 35,000 ha (80,000 acres) of forest lands in Santa Cruz County, California.
Christopher Potter
doaj   +1 more source

jmrmcode/Lidar-Landsat-data-fusion: lidar-landsat-data-fusion

open access: yes, 2019
A collection of scripts to import, manipulate and sample iteratively large-scale Lidar and Landsat ...
Juan Miguel Requena Mullor
core   +1 more source

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