GIScience & Remote Sensing

Papers
(The median citation count of GIScience & Remote Sensing is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data329
A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland88
Application of machine learning techniques in groundwater potential mapping along the west coast of India68
Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors58
A comparative analysis of trajectory similarity measures48
Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach48
Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery45
Use of Local Climate Zones to investigate surface urban heat islands in Texas45
Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique43
A review of building detection from very high resolution optical remote sensing images41
Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements40
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning37
Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities35
RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-up34
Quantitatively distinguishing the impact of climate change and human activities on vegetation in mainland China with the improved residual method34
Recent land deformation detected by Sentinel-1A InSAR data (2016–2020) over Hanoi, Vietnam, and the relationship with groundwater level change31
FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping31
A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency29
Improving wetland cover classification using artificial neural networks with ensemble techniques29
Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia29
A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets28
Factors affecting relative height and ground elevation estimations of GEDI among forest types across the conterminous USA28
A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems28
Oil spill detection from Synthetic Aperture Radar Earth observations: a meta-analysis and comprehensive review27
Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests27
A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and environmental impacts assessment27
Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches26
A new type of dual-scale neighborhood based on vectorization for cellular automata models26
Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction26
Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data26
Local-scale agricultural drought monitoring with satellite-based multi-sensor time-series25
Exploring the advantages of the maximum entropy model in calibrating cellular automata for urban growth simulation: a comparative study of four methods24
Seasonal and diurnal surface urban heat islands in China: an investigation of driving factors with three-dimensional urban morphological parameters24
Effect of landscape pattern and spatial configuration of vegetation patches on urban warming and cooling in Harare metropolitan city, Zimbabwe24
For-backward LSTM-based missing data reconstruction for time-series Landsat images23
Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China23
Multi-scale remote sensing to support insurance policies in agriculture: from mid-term to instantaneous deductions23
Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands23
The effects of urban land cover dynamics on urban heat Island intensity and temporal trends23
Automatic mapping of urban green spaces using a geospatial neural network22
Peatland leaf-area index and biomass estimation with ultra-high resolution remote sensing22
Spatio-temporal characterization of landscape fire in relation to anthropogenic activity and climatic variability over the Western Himalaya, India22
Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal waters22
Mapping 3D visibility in an urban street environment from mobile LiDAR point clouds22
Assessing spatiotemporal variations and predicting changes in ecosystem service values in the Guangdong–Hong Kong–Macao Greater Bay Area21
A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery21
How does co-registration affect geomorphic change estimates in multi-temporal surveys?21
Integrating InSAR and deep-learning for modeling and predicting subsidence over the adjacent area of Lake Urmia, Iran20
Improving remote sensing estimation of Secchi disk depth for global lakes and reservoirs using machine learning methods20
Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data20
Tracking vegetation degradation and recovery in multiple mining areas in Beijing, China, based on time-series Landsat imagery19
Surface deformation extraction from small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) using coherence-optimized baseline combinations19
Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques18
Recent advances in the remote sensing of alpine snow: a review18
Predicting land cover changes using a CA Markov model under different shared socioeconomic pathways in Greece17
Dynamics of savanna clearing and land degradation in the newest agricultural frontier in Brazil17
Detection of paddy rice cropping systems in southern China with time series Landsat images and phenology-based algorithms17
Exploring the effects of partitioned transition rules upon urban growth simulation in a megacity region: a comparative study of cellular automata-based models in the Greater Wuhan Area17
Solar park detection from publicly available satellite imagery17
Modeling dynamic land use changes in the eastern portion of the hexi corridor, China by cnn-gru hybrid model17
Ecological quality assessment and monitoring using a time-series remote sensing-based ecological index (ts-RSEI)16
Drone-borne sensing of major and accessory pigments in algae using deep learning modeling16
Use of local climate zones to assess the spatiotemporal variations of urban vegetation phenology in Austin, Texas, USA16
Classification of polarimetric SAR images using compact convolutional neural networks16
Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite15
Multi-spatiotemporal heterogeneous legacy effects of climate on terrestrial vegetation dynamics in China15
Mapping spatiotemporal variability of the urban heat island across an urban gradient in Worcester, Massachusetts using in-situ Thermochrons and Landsat-8 Thermal Infrared Sensor (TIRS) data15
Evaluation of machine learning models for rice dry biomass estimation and mapping using quad-source optical imagery15
A systematic review on the use of remote sensing technologies in quantifying grasslands ecosystem services15
Modeling the geographic spread and proliferation of invasive alien plants (IAPs) into new ecosystems using multi-source data and multiple predictive models in the Heuningnes catchment, South Africa15
Mapping and evaluating global urban entities (2000–2020): A novel perspective to delineate urban entities based on consistent nighttime light data15
Eutrophication monitoring of lakes in Wuhan based on Sentinel-2 data15
Wetland mapping with multi-temporal sentinel-1 & -2 imagery (2017 – 2020) and LiDAR data in the grassland natural region of alberta15
How does the ambient environment respond to the industrial heat island effects? An innovative and comprehensive methodological paradigm for quantifying the varied cooling effects of different landscap14
Three-dimensional deformation monitoring and simulations for the preventive conservation of architectural heritage: a case study of the Angkor Wat Temple, Cambodia14
Aboveground biomass estimates over Brazilian savannas using hyperspectral metrics and machine learning models: experiences with Hyperion/EO-114
Multi-scale three-dimensional detection of urban buildings using aerial LiDAR data14
Temporal and spatial relationships between soil erosion and ecological restoration in semi-arid regions: a case study in northern Shaanxi, China14
Inter-calibration of DMSP-OLS and SNPP-VIIRS-DNB annual nighttime light composites using machine learning14
Object-based change detection for vegetation disturbance and recovery using Landsat time series14
Earth observations and geographic information science for sustainable development goals14
A cellular automata approach of urban sprawl simulation with Bayesian spatially-varying transformation rules14
Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using Sentinel-2 images13
On the accuracy of low-cost dual-frequency GNSS network receivers and reference data13
Cropland data fusion and correction using spatial analysis techniques and the Google Earth Engine13
Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery13
Upscaling aboveground biomass of larch (Larix olgensis Henry) plantations from field to satellite measurements: a comparison of individual tree-based and area-based approaches13
Coastline extraction using remote sensing: a review13
Detection of seismic façade damages with multi-temporal oblique aerial imagery13
A hybrid integrated deep learning model for predicting various air pollutants13
Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data13
Optimal MODIS data processing for accurate multi-year paddy rice area mapping in China12
Investigating different versions of PROSPECT and PROSAIL for estimating spectral and biophysical properties of photosynthetic and non-photosynthetic vegetation in mixed grasslands12
Spatial disparities in trade-offs: economic and environmental impacts of road infrastructure on continental level12
Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands12
Activity-based process construction for participatory geo-analysis12
Detection of grassland mowing frequency using time series of vegetation indices from Sentinel-2 imagery12
Mapping fallow fields using Sentinel-1 and Sentinel-2 archives over farming-pastoral ecotone of Northern China with Google Earth Engine12
MSNet: multispectral semantic segmentation network for remote sensing images12
Urban building extraction from high-resolution remote sensing imagery based on multi-scale recurrent conditional generative adversarial network12
Gap-filling MODIS daily aerosol optical depth products by developing a spatiotemporal fitting algorithm12
Modeling of spatial stratified heterogeneity12
Spatially continuous mapping of hourly ground ozone levels assisted by Himawari-8 short wave radiation products12
Spatiotemporal dynamics of vegetation net ecosystem productivity and its response to drought in Northwest China12
Regional-scale burned area mapping in Mediterranean regions based on the multitemporal composite integration of Sentinel-1 and Sentinel-2 data12
An on-demand scheme driven by the knowledge of geospatial distribution for large-scale high-resolution impervious surface mapping11
Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period11
Leveraging uncertainty estimation and spatial pyramid pooling for extracting hydrological features from scanned historical topographic maps11
Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways11
Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery11
Mapping hourly population dynamics using remotely sensed and geospatial data: a case study in Beijing, China11
Customizable process design for collaborative geographic analysis11
Critical role of temporal contexts in evaluating urban cellular automata models10
Comparison of spectral indices extracted from Sentinel-2 images to map plastic covered greenhouses through an object-based approach10
Quantitative multi-factor characterization of eco-environmental vulnerability in the Mount Elgon ecosystem10
Improving the accuracy of extant gridded population maps using multisource map fusion10
Phenology-pigment based automated peanut mapping using sentinel-2 images10
Early mapping of winter wheat in Henan province of China using time series of Sentinel-2 data10
Comparison of high-resolution NAIP and unmanned aerial vehicle (UAV) imagery for natural vegetation communities classification using machine learning approaches10
An evaluation of PlanetScope images for 3D reconstruction and change detection – experimental validations with case studies10
Land deformation and sinkhole occurrence in response to the fluctuations of groundwater storage: an integrated assessment of GRACE gravity measurements, ICESat/ICESat-2 altimetry data, and hydrologic 10
A framework for fine classification of urban wetlands based on random forest and knowledge rules: taking the wetland cities of Haikou and Yinchuan as examples10
Precipitation structure during various phases the life cycle of precipitating cloud systems using geostationary satellite and space-based precipitation radar over Peru9
A physical-based two-source evapotranspiration model with Monin–Obukhov similarity theory9
Classification of ground deformation using sentinel-1 persistent scatterer interferometry time series9
Mathematical vector framework for gravity-specific land surface curvatures calculation from triangulated irregular networks9
Is the protected area coverage still relevant in protecting the Southern Ground-hornbill (Bucorvus leadbeateri) biological niche in Zimbabwe? Perspectives from ecological predictions9
Analyzing short term spatial and temporal dynamics of water presence at a basin-scale in Mexico using SAR data9
Downscaling MODIS spectral bands using deep learning9
Regionalization of precipitation associated with tropical cyclones using spatial metrics and satellite precipitation9
Spatiotemporal snow cover characterization and its linkage with climate change over the Chenab river basin, western Himalayas9
Developing remote sensing methods for monitoring water quality of alpine rivers on the Tibetan Plateau9
An improved Forel–Ule index method for trophic state assessments of inland waters using Landsat 8 and sentinel archives8
In situ hyperspectral characteristics and the discriminative ability of remote sensing to coral species in the South China Sea8
Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia8
Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States8
The impact of voxel size, forest type, and understory cover on visibility estimation in forests using terrestrial laser scanning8
Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks8
Iterative self-organizing SCEne-LEvel sampling (ISOSCELES) for large-scale building extraction8
Estimation of root-zone soil moisture using crop water stress index (CWSI) in agricultural fields8
A comparative analysis of modeling approaches and canopy height-based data sources for mapping forest growing stock volume in a northern subtropical ecosystem of China8
A novel machine learning approach to analyzing geospatial vessel patterns using AIS data7
AFSNet: attention-guided full-scale feature aggregation network for high-resolution remote sensing image change detection7
Interpreting the uncertainty of model-based and design-based estimation in downscaling estimates from NFI data: a case-study in Extremadura (Spain)7
High-spatial resolution UAV multispectral data complementing satellite imagery to characterize a chinstrap penguin colony ecosystem on deception island (Antarctica)7
Evaluation and enhancement of unmanned aircraft system photogrammetric data quality for coastal wetlands7
Model-driven estimation of closed and open shrublands live fuel moisture content7
Spatiotemporal patterns of planted forests on the Loess Plateau between 1986 and 2021 based on Landsat NDVI time-series analysis7
Mapping high-resolution forest aboveground biomass of China using multisource remote sensing data7
Assessing Combinations of Landsat, Sentinel-2 and Sentinel-1 Time series for Detecting Bark Beetle Infestations7
A robust and adaptive spatial-spectral fusion model for PlanetScope and Sentinel-2 imagery7
Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China7
Maximum height of mountain forests abruptly decreases above an elevation breakpoint7
Strengthening of surface urban heat island effect driven primarily by urban size under rapid urbanization: national evidence from China7
Decreasing trend of kuroshio intrusion and its effect on the chlorophyll-a concentration in the Luzon Strait, South China Sea7
Mapping rapeseed in China during 2017-2021 using Sentinel data: an automated approach integrating rule-based sample generation and a one-class classifier (RSG-OC)7
Estimation of the total dry aboveground biomass in the tropical forests of Congo Basin using optical, LiDAR, and radar data7
Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning6
Remote sensing of sea surface salinity: challenges and research directions6
Can time-series Sentinel images be used to properly identify wetland plant communities?6
Consistent, accurate, high resolution, long time-series mapping of built-up land in the North China Plain6
The impact of indicator selection on assessment of global greening6
Decadal assessment of agricultural drought in the context of land use land cover change using MODIS multivariate spectral index time-series data6
Can Gross Primary Productivity Products be effectively evaluated in regions with few observation data?6
Trends analysis of rangeland condition monitoring assessment and projection (RCMAP) fractional component time series (1985–2020)6
The synergistic use of microwave coarse-scale measurements and two adopted high-resolution indices driven from long-term T-V scatter plot for fine-scale soil moisture estimation6
Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model6
A snow cover mapping algorithm based on a multitemporal dataset for GK-2A imagery6
MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images6
The use of multisource spatial data for determining the proliferation of stingless bees in Kenya6
A novel big data mining framework for reconstructing large-scale daily MAIAC AOD data across China from 2000 to 20206
Recent trends in the timing of the growing season in New Zealand’s natural and semi-natural grasslands6
Assessing the impact of bridge construction on the land use/cover and socio-economic indicator time series: A case study of Hangzhou Bay Bridge6
Iterative spatial leave-one-out cross-validation and gap-filling based data augmentation for supervised learning applications in marine remote sensing6
Characterization of spatio-temporal patterns of grassland utilization intensity in the Selinco watershed of the Qinghai-Tibetan Plateau from 2001 to 2019 based on multisource remote sensing and artifi6
A new strategy for improving the accuracy of forest aboveground biomass estimates in an alpine region based on multi-source remote sensing6
Cell-level coupling of a mechanistic model to cellular automata for improving land simulation6
Satellite flood detection integrating hydrogeomorphic and spectral indices5
A forest type-specific threshold method for improving forest disturbance and agent attribution mapping5
Estimating evapotranspiration based on the satellite-retrieved near-infrared reflectance of vegetation (NIRv) over croplands5
Impacts of the world’s largest afforestation program (Three-North Afforestation Program) on desertification control in sandy land of China5
Quantifying understory vegetation density using multi-temporal Sentinel-2 and GEDI LiDAR data5
Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study5
Analyzing ice dynamics using Sentinel-1 data at the Solheimajoküll Glacier, Iceland5
Water extraction from optical high-resolution remote sensing imagery: a multi-scale feature extraction network with contrastive learning5
Soil moisture retrieval over agricultural fields through integration of synthetic aperture radar and optical images5
Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR5
Development of earth observational diagnostic drought prediction model for regional error calibration: A case study on agricultural drought in Kyrgyzstan5
The essence of acquisition time of airborne hyperspectral and on-ground reference data for classification of highly invasive annual vine Echinocystis lobata (Michx.) Tor5
Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district5
Snow detection in alpine regions with Convolutional Neural Networks: discriminating snow from cold clouds and water body5
Global crop calendars of maize and wheat in the framework of the WorldCereal project5
Automated classification of A-DInSAR-based ground deformation by using random forest5
Tracking transient boreal wetland inundation with Sentinel-1 SAR: Peace-Athabasca Delta, Alberta and Yukon Flats, Alaska5
Intra-annual land cover mapping and dynamics analysis with dense satellite image time series: a spatiotemporal cube based spatiotemporal contextual method5
Land cover change detection in the Aralkum with multi-source satellite datasets5
A deep relearning method based on the recurrent neural network for land cover classification5
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