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Land-Cover and Elevation-Based Mapping of Aboveground Carbon in a Tropical Mixed-Shrub Forest Area in West Java, Indonesia
aboveground biomass geostatistics kriging regression modeling stratification tropical forest
2024/1/23
Carbon sequestration and storage are among the most important ecosystem services provided by tropical forests. Improving the accuracy of the carbon mapping of tropical forests has always been a challe...
Hydrological simulation of a small forested catchment under different land use and forest management
Hydrological Modeling Soil and Water Assessment Tool (SWAT) Atlantic Rainforest Eucalyptus
2024/1/22
The alteration of landscapes by humans has led to a gradual increase in the scarcity of water and degradation of its quality ([24]). Over the last decades, there has been a growing consensus that the ...
Remote sensing for monitoring and mapping Land Productivity in Italy: A rapid assessment methodology
Remote sensing MODIS-NDVI Land Productivity Land Degradation Neutrality
2024/1/19
We present a remote sensing-based methodology for the Land Productivity (LP) rapid assessment and monitoring of status and trends at national and sub-national scales. This methodology aims at supporti...
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...
Classifying wetland-related land cover types and habitats using fine-scale lidar metrics derived from country-wide Airborne Laser Scanning
Habitat classification Phragmites australis reedbed structural heterogeneity vegetation complexity wetland conservation
2023/12/19
Mapping 3D vegetation structure in wetlands is important for conservation and monitoring. Openly accessible country-wide Airborne Laser Scanning (ALS) data-using light detection and ranging (lidar) te...
Genome-wide analysis of the AREB/ABF gene lineage in land plants and functional analysis of TaABF3 in Arabidopsis
ABFs Land plants Phylogenetic relationship Expression analysis TaABFs Drought stress
2023/12/15
Previous studies have shown that ABFs (abscisic acid-responsive transcription factors) are important ABA-signaling components that participate in abiotic stress response. However, little is known abou...
Land Cover and Land Use Change Decreases Net Ecosystem Production in Tropical Peatlands of West Kalimantan, Indonesia
deforestation forest logging tropical climate peat swamp forests oil palm estate NEP
2023/12/8
Deforested and converted tropical peat swamp forests are susceptible to fires and are a major source of greenhouse gas (GHG) emissions. However, information on the influence of land-use change (LUC) o...
Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification
airborne LiDAR intensity correction LiDAR intensity
2023/12/6
Light detection and range (LiDAR) intensity is an important feature describing the characteristics of a target. The direct use of original intensity values has limitations for users, because the same ...
Climate-Based Regionalization and Inclusion of Spectral Indices for Enhancing Transboundary Land-Use/Cover Classification Using Deep Learning and Machine Learning
machine learning ratio-based indices orthogonal indices Koppen–Geiger climate regionalization landscape change remote sensing landcover
2023/12/4
Accurate land use and cover data are essential for effective land-use planning, hydrological modeling, and policy development. Since the Okavango Delta is a transboundary Ramsar site, managing natural...
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 ...
Evaluation of C Stocks in Afforested High Quality Agricultural Land
afforestation ecosystem C stocks soil C stocks C sequestration productive arable land
2023/11/22
编号 010038305
推送时间 20230220
研究领域 森林生态
年份 2022
类型 期刊
语种 英语
标题 Evaluation of C Stocks in Afforested High Quality Agricultural Land
来源期刊 forest
期 第383期
发表时间 20221203...
Land Use Changes, Disturbances, and Their Interactions on Future Forest Aboveground Biomass Dynamics in the Northern US
Landsat national forest inventory sensitivity analysis uncertainty
2024/3/5
Land use change (LUC), disturbances, and their interactions play an important role in regional forest carbon (C) dynamics. Here we quantified how these activities and events may influence future above...
A COMPARATIVE STUDY OF LAND SURFACE TEMPERATURE WITH DIFFERENT INDICES ON HETEROGENEOUS LAND COVER USING LANDSAT 8 DATA
LST Landsat 8 NDBI NDSI NDVI NDWI Land Cover
2019/2/27
The temperature rise in urban areas has become a major environmental concern. Hence, the study of Land surface temperature (LST) in urban areas is important to understand the behaviour of different la...
MODEL FOR LAND COVER ESTIMATION USING UNSUPERVISED MACHINE LEARNING ON GOOGLE MAPS COLOR IMAGES
Unsupervised learning algorithms CORINE nomenclature Google Static Maps API k-means clustering
2019/2/27
Remote sensing data and satellite images are broadly used for land cover information. There are so many challenges to classify pixels on the basis of features and characteristics. Generally it is pixe...
IDENTIFICATION OF LOW ACCURACY REGIONS IN LAND COVER MAPS USING UNCERTAINTY MEASURES AND CLASSIFICATION CONFIDENCE
Multispectral images Classification Uncertainty Confidence Accuracy Spatial variation
2018/11/9
The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this ...