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Democratic Republic of the Congo Tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection
Airborne LiDAR Landsat-8 tropical forest canopy height aboveground biomass Congo Basin Forest
2023/12/19
Inventories of tropical forest aboveground biomass (AGB) are often imprecise and sparse. Increasingly,?airborne?Light Detection And Ranging (LiDAR) and satellite optical wavelength sensor data are use...
Identification of Silvicultural Practices in Mediterranean Forests Integrating Landsat Time Series and a Single Coverage of ALS Data
BFAST clear-cutting cutting with seed-trees thinning Spain
2023/12/7
Understanding forest dynamics at the stand level is crucial for sustainable management. Landsat time series have been shown to be effective for identification of drastic changes, such as natural distu...
Semantic Segmentation and Analysis on Sensitive Parameters of Forest Fire Smoke Using Smoke-Unet and Landsat-8 Imagery
forest fire remote sensing smoke segmentation Smoke-Unet attention mechanism residual block Landsat-8 band sensibility
2023/12/5
Forest fire is a ubiquitous disaster which has a long-term impact on the local climate as well as the ecological balance and fire products based on remote sensing satellite data have developed rapidly...
Time Series Analysis of Landsat Data for Investigating the Relationship between Land Surface Temperature and Forest Changes in Paphos Forest, Cyprus
time series Landsat Mediterranean forest LST NDVI Kalman filter decomposition cross-correlation breakpoints Big Earth Observation Data
2023/12/1
This study aims to investigate how alternations of the land surface temperature (LST) affects the normalized difference vegetation index (NDVI) in Paphos forest, Cyprus, using Landsat-5 and Landsat-8 ...
A Planted Forest Mapping Method Based on Long-Term Change Trend Features Derived from Dense Landsat Time Series in an Ecological Restoration Region
planted forests long-term change trend features Landsat time series Google Earth Engine random forest NDVI
2023/12/1
Planted forests provide a variety of meaningful ecological functions and services, which is a major approach for ecological restoration, especially in arid areas. However, mapping planted forests with...
SPATIO-TEMPORAL ASSESSMENT OF MARGALLA HILLS FOREST BY USING LANDSAT IMAGERY FOR YEAR 2000 AND 2018
Change Detection LULC Supervised Classification Satellite Remote Sensing LANDSAT ETM+ and OLI
2018/5/11
Environmental imbalance due to human activities has shown serious threat to ecosystem and produced negative impacts. The main goal of this study is to identify, monitor and classify temporal changes o...
APPLYING RANDOM FOREST CLASSIFICATION TO MAP LAND USE/LAND COVER USING LANDSAT 8 OLI
Classification Landsat 8 OLI Land use Land cover Random Forest Decision Tree
2018/4/18
This study used the Random Forest classifier (RF) running in R environment to map Land use/Land cover (LULC) of Dak Lak province in Vietnam based on the Landsat 8 OLI. The values of two RF parameters ...
Forest density and orchard classification in Hyrcanian forests of Iran using Landsat 8 data
canopy cover Caspian forests satellite data supervised classification support vector machines two-stage sampling
2018/3/6
Satellite-based remote sensing is of crucial importance to provide timely and continuous thematic maps for practical
forestry tasks. There is currently no existing remote sensing-based, large-scale i...
INVESTIGATION OF THE POSSIBILITY OF FOREST TYPE MAPPING IN ARID AND SEMI-ARID REGIONS USING LANDSAT ETM+ DATA
Forest Classification Accuracy Landsat Fusion Quality Soil Vegetation
2015/7/29
Landsat ETM+ data from the National Park of Khabr in Kerman province, dating May 2000, were analyzed to investigate the
possibility of forest type mapping in arid and semi-arid regions.Quality evalu...
Semivariogram analysis of Landsat 5 TM textural data for loblolly pine forests
semivariance textural classification remote sensing loblolly pine Landsat TM
2015/2/6
The objective of this study was to evaluate the applicability of Landsat 5 TM images for analysing the textural information on pine forest stands in western Georgia, United States. Analysing spatial c...
LANDSAT and its application to evaluate the dynamics of the health condition of birch stands
Betula pendula Roth health condition LANDSAT monitoring
2015/1/29
Methods were elaborated that would specify factors affecting the accuracy of the output of LANDSAT satellite images used to evaluate the dynamics of changes in the health condition of birch stands. In...