Articles published in Journal of Remote Sensing & GIS have been cited by esteemed scholars and scientists all around the world. Journal of Remote Sensing & GIS has got h-index 20, which means every article in Journal of Remote Sensing & GIS has got 20 average citations.
Following are the list of articles that have cited the articles published in Journal of Remote Sensing & GIS.
2022 | 2021 | 2020 | 2019 | 2018 | |
---|---|---|---|---|---|
Year wise published articles |
61 | 76 | 48 | 13 | 31 |
Year wise citations received |
304 | 294 | 211 | 148 | 74 |
Journal total citations count | 1229 |
Journal Impact Factor | 1.58 |
Journal 5 years Impact Factor | 2.63 |
Journal CiteScore | 4.47 |
Journal h-index | 20 |
Mapping forest dynamics in Bangladesh from satellite images: Implications for the global REDD+ program
Identifying local-scale meteorological conditions favorable to large fires in Brazil
CLASlite unmixing of Landsat images to estimate REDD+ activity data for deforestation in a Bangladesh forest
COMBINATION OF SPECTRAL INDICES FOR BURNED AREA DETECTION IN THE BRAZILIAN AMAZONIA
Burning in southwestern Brazilian Amazonia, 2016–2019
REDD+ project design study for quantifying activity data for historic forest degradation in a Bangladesh forest using Landsat data
Improving the spatial-temporal analysis of Amazonian fires
Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon
Translating Fire Impacts in Southwestern Amazonia into Economic Costs
Dynamics of forest fires in the southwestern Amazon
Methodological contributions for obtaining altimetric information required in the local assessment of flood threats from new geospatial technologies
A COLLABORATIVE APPROACH FOR DISASTER RISK REDUCTION: MAPPING SOCIAL LEARNING WITH MISTAWASIS NÊHIYAWAK
Satellite image fusion and PSO optimization algorithm to improve the evaluation of water bodies, focusing on flood monitoring
Cross-Border Urban Change Detection and Growth Assessment for Mexican-USA Twin Cities
Measurement to Management: Study of Remote Sensing Techniques for Flood Disaster Management
Comparative analysis of ground elevations derived from RPAS-based LiDAR and ground-based TLS/RTK data
Integrating water-classified returns in DTM generation to increase accuracy of stream delineations and geomorphic analyses
G.I.S. IMPLEMENTATION ON DAM-BREAK FLOOD VULNERABILITY ANALYSIS – A CASE STUDY OF C?T?M?R??TI DAM, BOTO?ANI, ROMANIA
Shoreline Solutions: Guiding Efficient Data Selection for Coastal Risk Modeling and the Design of Adaptation Interventions
Deep Learning Methods for 3D Aerial and Satellite Data