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Grouping-Based Time-Series Model for Monitoring of Fall Peak Coloration Dates Using Satellite Remote Sensing Data
phenology monitoring fall foliage coloration grouping-based time-series analysis spatial and temporal scale optical remote sensing
2024/1/12
Accurate monitoring of plant phenology is vital to effective understanding and prediction of the response of vegetation ecosystems to climate change. Satellite remote sensing is extensively employed t...
Monitoring Three-Decade Expansion of China's Major Cities Based on Satellite Remote Sensing Images
urbanization satellite remote sensing urban expansion trajectories urban village north-south differentiation
2024/1/12
As the largest developing country, China has experienced dramatic urban expansion since the "reform and opening-up" policy started at the end of the 1970s. In this paper, we monitor three decades of u...
Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing
Night-time light Unmanned aerial vehicle Hourly dynamic Urban function Spectral analysis
2023/12/21
Satellite-observed night-time light in urban areas has been widely used as an indicator for socioeconomic development and light pollution. Up to present, the diurnal dynamics of city light during the ...
Astrape: A System for Mapping Severe Abiotic Forest Disturbances Using High Spatial Resolution Satellite Imagery and Unsupervised Classification
astrapeforest disturbanceSentinel-2planetdoveimage segmentation RSGISLibjenksXGBoost
2023/12/6
Severe forest disturbance events are becoming more common due to climate change and many forest managers rely heavily upon airborne surveys to map damage. However, when the damage is extensive, airbor...
Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Inventories for the Complex, Mixed-Species Forests of the Eastern United States
LiDAR airborne laser scanning enhanced forest inventory aboveground biomass forest carbon deep learning Maine New Hampshire Vermont Massachusetts Connecticut Rhode Island
2023/12/5
Light detection and ranging (LiDAR) has become a commonly-used tool for generating remotely-sensed forest inventories. However, LiDAR-derived forest inventories have remained uncommon at a regional sc...
Satellite–Derived Topography and Morphometry for VHR Coastal Habitat Mapping: The Pleiades–1 Tri–Stereo Enhancement
leiades–1 photogrammetry RSP topography classification maximum likelihood landscape
2023/12/4
The evolution of the coastal fringe is closely linked to the impact of climate change, specifically increases in sea level and storm intensity. The anthropic pressure that is inflicted on these fragil...
Tropical Forest Disturbance Monitoring Based on Multi-Source Time Series Satellite Images and the LandTrendr Algorithm
Hainan Island forest disturbances LandTrendr Google Earth engine
2023/11/22
Monitoring disturbances in tropical forests is important for assessing disturbance-related greenhouse gas emissions and the ability of forests to sequester carbon, and for formulating strategies for s...
SATELLITE BASED DROUGHT ASSESSMENT OVER LATUR, INDIA USING SOIL MOISTURE DERIVED FROM SMOS
Soil Moisture SMOS Drought Standardized Precipitation Index (SPI) Standardized Precipitation Evapotranspiration Index (SPEI)
2019/2/27
Climatological variables such as rainfall, temperature have been extensively used by researchers for drought monitoring at a larger spatial region. These variables have a direct influence on the soil ...
SUGARCANE CROP EXTRACTION USING OBJECT-ORIENTED METHOD FROM ZY-3 HIGH RESOLUTION SATELLITE TLC IMAGE
Sugarcane Crop Extraction Object-oriented ZY-3 Three Line Camera (TLC) Texture Digital Surface Model (DSM)
2018/5/15
Sugarcane is one of the most important crops in Guangxi, China. As the development of satellite remote sensing technology, more remotely sensed images can be used for monitoring sugarcane crop. With t...
Harnessing rich satellite data to estimate crop yield（图）
Harnessing rich satellite data estimate crop yield
2017/9/5
Without advanced sensing technology, humans see only a small portion of the entire electromagnetic spectrum. Satellites see the full range—from high-energy gamma rays, to visible, infrared, and low-en...
MONITORING SPATIAL AND STRUCTURAL CHANGES OF FOREST COVER IN YENICIFTLIK WATERSHED WITH MULTITEMPORAL SATELLITE DATA
Remote Sensing Monitoring Forest Resources Natural Resources Planning Change Detection Landsat
2015/7/29
Recent surveys indicate that changes in forest cover and land use have a direct and enormous effect on wildlife, water quality, climate
and carbon cycling. The forest ecosystem is threatened constan...
FOREST CANOPY DENSITY MONITORING, USING SATELLITE IMAGES
Remote Sensing Forestry Change Detection Landsat Multispectral Thermal
2015/7/29
The increasing use of satellite Remote Sensing for civilian use has proved to be the most cost effective means of mapping and
monitoring environmental changes in terms of vegetation and non-renewabl...
DISCUSS ON SATELLITE-BASED PARTICULATE MATTER MONITORING TECHNIQUE
Fog and haze PM2.5 concentration
2015/5/6
Satellite measurements for atmospheric pollutants monitoring provide full mapping, large spatial coverage, and high spatial resolution. Retrieved aerosol optical depth (AOD) from satellite data as t...
TIME-SERIES ANALYSIS OF SATELLITE-MEASURED VEGETATION PHENOLOGY AND AEROSOL OPTICAL THICKNESS OVER THE KOREAN PENINSULA
Aerosol MODIS Vegetation Index
2015/5/6
The spatiotemporal influences of climatic factors and atmospheric aerosol on vegetative phenological cycles of the Korean Peninsula was analysed based on four major forest types. High temporal-resol...
COMPARISONS OF AEROSOL OPTICAL DEPTH PROVIDED BY SEVIRI SATELLITE OBSERVATIONS AND CAMx AIR QUALITY MODELLING
Aerosol Optical Depth (AOD), Satellite data
2015/5/6
Satellite data provide high spatial coverage and characterization of atmospheric components for vertical column. Additionally, the use of air pollution modelling in combination with satellite data o...