A review of deep-learning methods for change detection in multispectral remote sensing images
EJ Parelius - Remote Sensing, 2023 - mdpi.com
Remote sensing is a tool of interest for a large variety of applications. It is becoming
increasingly more useful with the growing amount of available remote sensing data …
increasingly more useful with the growing amount of available remote sensing data …
Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review
C Matyukira, P Mhangara - European Journal of Remote Sensing, 2024 - Taylor & Francis
This study explores the rapid growth in remote-sensing technologies for vegetation
mapping, driven by the integration of advanced machine learning techniques. An analysis of …
mapping, driven by the integration of advanced machine learning techniques. An analysis of …
Change in observed long-term greening across Switzerland–evidence from a three decades NDVI time-series and its relationship with climate and land cover factors
C Obuchowicz, C Poussin, G Giuliani - Big Earth Data, 2024 - Taylor & Francis
Environmental changes are significantly modifying terrestrial vegetation dynamics, with
serious consequences on Earth system functioning and provision of ecosystem services …
serious consequences on Earth system functioning and provision of ecosystem services …
Mapping fruit tree dynamics using phenological metrics from optimal Sentinel-2 data and Deep Neural Network
Accurate and up-to-date crop-type maps are essential for efficient management and well-
informed decision-making, allowing accurate planning and execution of agricultural …
informed decision-making, allowing accurate planning and execution of agricultural …
Machine learning versus deep learning in land system science: a decision-making framework for effective land classification
This review explores the comparative utility of machine learning (ML) and deep learning
(DL) in land system science (LSS) classification tasks. Through a comprehensive …
(DL) in land system science (LSS) classification tasks. Through a comprehensive …
Linking forest management to surrounding lands: a citizen-based approach towards the regional understanding of land-use transitions
The Southeastern United States has high landscape heterogeneity, with heavily managed
forestlands, developed agriculture, and multiple metropolitan areas. The spatial pattern of …
forestlands, developed agriculture, and multiple metropolitan areas. The spatial pattern of …
Latitudes and land use: Global biome shifts in vegetation persistence across three decades
Introduction: The dynamics of terrestrial vegetation are shifting globally due to environmental
changes, with potential repercussions for the proper functioning of the Earth system …
changes, with potential repercussions for the proper functioning of the Earth system …
Potentiel des séries temporelles d'images satellites multispectrales pour la caractérisation et le suivi dynamique d'une culture: application à la vigne à l'échelle …
EL Fornieles - 2022 - theses.hal.science
Information sources based on remote sensing have particularly interesting characteristics for
dynamic crop monitoring, from the plot scale to the regional scale. Imagery from sensing …
dynamic crop monitoring, from the plot scale to the regional scale. Imagery from sensing …