Работы, цитирующие эту работу

Работ: 5

Работа: A review of crowdsourced geographic information for land-use and land-cover mapping: current progress and challenges

1. CT-HiffNet: A contour-texture hierarchical feature fusion network for cropland field parcel extraction from high-resolution remote sensing images

   Hao Wu, Junyang Xie, Weihao Deng +10

   СтатьяRemote Sensing in AgricultureComputers and Electronics in Agriculture2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000223

2. Ct-Hiffnet: A Contour-Texture Hierarchical Feature Fusion Network for Cropland Field Parcel Extraction from High-Resolution Remote Sensing Images

   Hao Wu, Junyang Xie, Weihao Deng +9

   ПрепринтRemote Sensing in AgricultureSSRN Electronic Journal2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.preprint.000241

3. Predicting coastal subsidence and sea-level scenarios in the Sundarbans Delta using InSAR and artificial intelligence for sustainable coastal management

   Ismail Mondal, Rupa Ghosh, Jatisankar Bandyopadhyay +3

   СтатьяCoastal wetland ecosystem dynamicsMarine Pollution Bulletin2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000116

4. Predicting blue carbon sequestration in Sundarban coastal mangroves: A spatially explicit approach with INVEST and machine learning to advance climate resilience and UN SDG-aligned nature-based climate solutions

   Ismail Mondal, Shabiha Hossain, Muhammad Tauhidur Rahman +2

   СтатьяCoastal wetland ecosystem dynamicsMarine Pollution Bulletin2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000283

5. Spatio-Temporal Assessment of Land Cover Change and Cropping Pattern Variation Using Cloud-Based Earth Observation Analytics

   Lal Mohammad, Jatisankar Bandyopadhyay, Ismail Mondal +3

   СтатьяRemote Sensing in AgricultureJournal of the Indian Society of Remote Sensing2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.010553