GIScience & Remote Sensing

Papers
(The TQCC of GIScience & Remote Sensing is 14. 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 2020-08-01 to 2024-08-01.)
ArticleCitations
A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland97
Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors72
A comparative analysis of trajectory similarity measures62
A review of building detection from very high resolution optical remote sensing images60
Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach56
Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery56
Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements53
Use of Local Climate Zones to investigate surface urban heat islands in Texas48
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning47
FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping43
Quantifying diurnal and seasonal variation of surface urban heat island intensity and its associated determinants across different climatic zones over Indian cities42
A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency41
A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets38
RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-up37
Quantitatively distinguishing the impact of climate change and human activities on vegetation in mainland China with the improved residual method37
Factors affecting relative height and ground elevation estimations of GEDI among forest types across the conterminous USA37
Recent land deformation detected by Sentinel-1A InSAR data (2016–2020) over Hanoi, Vietnam, and the relationship with groundwater level change35
A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems35
Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction34
Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China33
Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests33
Exploring the advantages of the maximum entropy model in calibrating cellular automata for urban growth simulation: a comparative study of four methods32
Improving wetland cover classification using artificial neural networks with ensemble techniques32
A new type of dual-scale neighborhood based on vectorization for cellular automata models32
Oil spill detection from Synthetic Aperture Radar Earth observations: a meta-analysis and comprehensive review31
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 assessment31
Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches30
Automatic mapping of urban green spaces using a geospatial neural network29
For-backward LSTM-based missing data reconstruction for time-series Landsat images28
Improving remote sensing estimation of Secchi disk depth for global lakes and reservoirs using machine learning methods28
Seasonal and diurnal surface urban heat islands in China: an investigation of driving factors with three-dimensional urban morphological parameters28
Driving forces of grassland vegetation changes in Chen Barag Banner, Inner Mongolia28
Effect of landscape pattern and spatial configuration of vegetation patches on urban warming and cooling in Harare metropolitan city, Zimbabwe28
The effects of urban land cover dynamics on urban heat Island intensity and temporal trends27
Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data26
Coastline extraction using remote sensing: a review26
Mapping 3D visibility in an urban street environment from mobile LiDAR point clouds26
Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands26
Ecological quality assessment and monitoring using a time-series remote sensing-based ecological index (ts-RSEI)25
Peatland leaf-area index and biomass estimation with ultra-high resolution remote sensing25
A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery25
Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal waters25
Surface deformation extraction from small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) using coherence-optimized baseline combinations25
Integrating InSAR and deep-learning for modeling and predicting subsidence over the adjacent area of Lake Urmia, Iran24
Spatio-temporal characterization of landscape fire in relation to anthropogenic activity and climatic variability over the Western Himalaya, India24
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 techniques24
Drone-borne sensing of major and accessory pigments in algae using deep learning modeling23
Recent advances in the remote sensing of alpine snow: a review23
Assessing spatiotemporal variations and predicting changes in ecosystem service values in the Guangdong–Hong Kong–Macao Greater Bay Area23
Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data23
Predicting land cover changes using a CA Markov model under different shared socioeconomic pathways in Greece22
Mapping and evaluating global urban entities (2000–2020): A novel perspective to delineate urban entities based on consistent nighttime light data21
Tracking vegetation degradation and recovery in multiple mining areas in Beijing, China, based on time-series Landsat imagery21
Eutrophication monitoring of lakes in Wuhan based on Sentinel-2 data20
Solar park detection from publicly available satellite imagery20
Mapping high-resolution forest aboveground biomass of China using multisource remote sensing data20
Modeling dynamic land use changes in the eastern portion of the hexi corridor, China by cnn-gru hybrid model20
Detection of paddy rice cropping systems in southern China with time series Landsat images and phenology-based algorithms19
Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using Sentinel-2 images19
Multi-spatiotemporal heterogeneous legacy effects of climate on terrestrial vegetation dynamics in China19
Multi-scale three-dimensional detection of urban buildings using aerial LiDAR data18
Dynamics of savanna clearing and land degradation in the newest agricultural frontier in Brazil18
A systematic review on the use of remote sensing technologies in quantifying grasslands ecosystem services18
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 Africa18
Mapping hourly population dynamics using remotely sensed and geospatial data: a case study in Beijing, China18
Classification of polarimetric SAR images using compact convolutional neural networks17
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
A cellular automata approach of urban sprawl simulation with Bayesian spatially-varying transformation rules17
Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite17
Comparison of high-resolution NAIP and unmanned aerial vehicle (UAV) imagery for natural vegetation communities classification using machine learning approaches17
Use of local climate zones to assess the spatiotemporal variations of urban vegetation phenology in Austin, Texas, USA17
A hybrid integrated deep learning model for predicting various air pollutants17
Modeling of spatial stratified heterogeneity17
Spatial disparities in trade-offs: economic and environmental impacts of road infrastructure on continental level17
MSNet: multispectral semantic segmentation network for remote sensing images17
Aboveground biomass estimates over Brazilian savannas using hyperspectral metrics and machine learning models: experiences with Hyperion/EO-117
Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States16
Urban building extraction from high-resolution remote sensing imagery based on multi-scale recurrent conditional generative adversarial network16
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) data16
Cropland data fusion and correction using spatial analysis techniques and the Google Earth Engine16
Three-dimensional deformation monitoring and simulations for the preventive conservation of architectural heritage: a case study of the Angkor Wat Temple, Cambodia16
Wetland mapping with multi-temporal sentinel-1 & -2 imagery (2017 – 2020) and LiDAR data in the grassland natural region of alberta16
Object-based change detection for vegetation disturbance and recovery using Landsat time series16
Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery16
Spatiotemporal dynamics of vegetation net ecosystem productivity and its response to drought in Northwest China16
Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data15
Spatiotemporal snow cover characterization and its linkage with climate change over the Chenab river basin, western Himalayas15
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 landscap15
Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways15
Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery15
Gap-filling MODIS daily aerosol optical depth products by developing a spatiotemporal fitting algorithm15
Inter-calibration of DMSP-OLS and SNPP-VIIRS-DNB annual nighttime light composites using machine learning15
Upscaling aboveground biomass of larch (Larix olgensis Henry) plantations from field to satellite measurements: a comparison of individual tree-based and area-based approaches14
Early mapping of winter wheat in Henan province of China using time series of Sentinel-2 data14
Spatially continuous mapping of hourly ground ozone levels assisted by Himawari-8 short wave radiation products14
Activity-based process construction for participatory geo-analysis14
Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands14
Impacts of the world’s largest afforestation program (Three-North Afforestation Program) on desertification control in sandy land of China14
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