Remote sensing of land change: A multifaceted perspective

Z Zhu, S Qiu, S Ye - Remote Sensing of Environment, 2022 - Elsevier
The discipline of land change science has been evolving rapidly in the past decades.
Remote sensing played a major role in one of the essential components of land change …

[HTML][HTML] Artificial Intelligence in Agricultural Mapping: A Review

R Espinel, G Herrera-Franco, JL Rivadeneira García… - Agriculture, 2024 - mdpi.com
Artificial intelligence (AI) plays an essential role in agricultural mapping. It reduces costs and
time and increases efficiency in agricultural management activities, which improves the food …

Integrating National Ecological Observatory Network (NEON) airborne remote sensing and in-situ data for optimal tree species classification

VM Scholl, ME Cattau, MB Joseph, JK Balch - Remote Sensing, 2020 - mdpi.com
Accurately mapping tree species composition and diversity is a critical step towards spatially
explicit and species-specific ecological understanding. The National Ecological Observatory …

Multi-temporal sentinel-2 data in classification of mountain vegetation

M Wakulińska, A Marcinkowska-Ochtyra - Remote Sensing, 2020 - mdpi.com
The electromagnetic spectrum registered via satellite remote sensing methods became a
popular data source that can enrich traditional methods of vegetation monitoring. The …

The return of nature to the Chernobyl Exclusion Zone: increases in forest cover of 1.5 times since the 1986 disaster

M Matsala, A Bilous, V Myroniuk, D Holiaka… - Forests, 2021 - mdpi.com
For 34 years since the 1986 nuclear disaster, the Chernobyl Exclusion Zone (ChEZ)
landscapes have been protected with very limited human interventions. Natural afforestation …

Natura 2000 Grassland Habitats Mapping Based on Spectro-Temporal Dimension of Sentinel-2 Images with Machine Learning

A Marcinkowska-Ochtyra, A Ochtyra, E Raczko… - Remote Sensing, 2023 - mdpi.com
Habitat mapping is essential for the management and monitoring of Natura 2000 sites. Time-
consuming field surveys are still the most frequently used solution for the implementation of …

Automated land cover change detection and forest succession monitoring using LiDAR Point Clouds and GIS analyses

M Szostak - Geosciences, 2020 - mdpi.com
This paper investigates the possibility of applying light detection and ranging (LiDAR) point
clouds and geographic information system (GIS) analyses for land use and land cover …

PlanetScope imageries and LiDAR point clouds processing for automation land cover mapping and vegetation assessment of a reclaimed sulfur mine

M Szostak, J Likus-Cieślik, M Pietrzykowski - Remote Sensing, 2021 - mdpi.com
The present research investigated the possibility of using PlanetScope imageries and
LiDAR point clouds for land cover assessment, especially vegetation mapping, in degraded …

Forest disturbances in polish Tatra mountains for 1985–2016 in relation to topography, stand features, and protection zone

A Ochtyra - Forests, 2020 - mdpi.com
For more than four centuries, the Tatra Mountains were affected by many factors, such as
forest and pastoral management, mining and metallurgy, windthrows, snow avalanches, and …

Natural forest regeneration in Chernobyl Exclusion Zone: predictive mapping and model diagnostics

M Matsala, A Bilous, V Myroniuk… - … Journal of Forest …, 2021 - Taylor & Francis
Following the nuclear disaster of 1986, forests have established throughout the abandoned
agricultural landscapes within Chernobyl Exclusion Zone (ChEZ). However, they are yet to …