Monitoring road development in Congo Basin forests with multi-sensor satellite imagery and deep learning

被引：0
|
作者：
Slagter, Bart [1 ]
Fesenmyer, Kurt [2 ]
Hethcoat, Matthew [3 ]
Belair, Ethan [2 ]
Ellis, Peter [2 ]
Kleinschroth, Fritz [4 ,5 ]
Peña-Claros, Marielos [6 ]
Herold, Martin [1 ,7 ]
Reiche, Johannes [1 ]
机构：
[1] Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Netherlands
[2] The Nature Conservancy, Arlington, Virginia, United States
[3] Northern Forestry Centre, Canadian Forest Service, Natural Resources Canada, Edmonton, Canada
[4] Institute of Environmental Planning, Leibniz University Hannover, Germany
[5] Ecosystem Management, Department of Environmental Systems Science, ETH Zurich, Switzerland
[6] Forest Ecology and Forest Management Group, Wageningen University & Research, Netherlands
[7] Helmholtz GFZ German Research Centre for Geosciences, Remote Sensing and Geoinformatics, Potsdam, Germany
来源：
Remote Sensing of Environment | 2024年 / 315卷
关键词：
Radar imaging;
D O I：
10.1016/j.rse.2024.114380
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Monitoring and Predicting Temporal Changes of Urmia Lake and its Basin Using Satellite Multi-Sensor Data and Deep-Learning Algorithms
    Radman, Ali
    Akhoondzadeh, Mehdi
    Hosseiny, Benyamin
    PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE, 2022, 90 (03): : 319 - 335
  • [2] Monitoring and Predicting Temporal Changes of Urmia Lake and its Basin Using Satellite Multi-Sensor Data and Deep-Learning Algorithms
    Ali Radman
    Mehdi Akhoondzadeh
    Benyamin Hosseiny
    PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2022, 90 : 319 - 335
  • [3] Multi-sensor satellite monitoring of ocean climate
    Guymer, TH
    Challenor, PG
    Cipollini, P
    Cromwell, D
    Quartly, GD
    Srokosz, MA
    Cotton, PD
    OPERATIONAL OCEANOGRAPHY: IMPLEMENTATION AT THE EUROPEAN AND REGIONAL SCALES, 2002, 66 : 405 - 419
  • [4] Update of road network in GIS by fusing multi-sensor imagery
    Xiao, ZQ
    Jiang, XQ
    Bao, GS
    Huang, JX
    Lu, L
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 4969 - 4971
  • [5] Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery
    Yang, Xian
    Zhao, Yifan
    Vatsavai, Ranga Raju
    PROCEEDINGS OF 2023 18TH INTERNATIONAL SYMPOSIUM ON SPATIAL AND TEMPORAL DATA, SSTD 2023, 2023, : 151 - 160
  • [6] Deep Transform Learning for Multi-Sensor Fusion
    Sahu, Saurabh
    Kumar, Kriti
    Majumdar, Angshul
    Chandra, M. Girish
    28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), 2021, : 1996 - 2000
  • [7] A multi-sensor satellite imagery approach to monitor on-farm reservoirs
    Perin, Vinicius
    Tulbure, Mirela G.
    Gaines, Mollie D.
    Reba, Michele L.
    Yaeger, Mary A.
    REMOTE SENSING OF ENVIRONMENT, 2022, 270
  • [8] Multi-sensor satellite and in situ monitoring of phytoplankton development in a eutrophic-mesotrophic lake
    Doernhoefer, Katja
    Klinger, Philip
    Heege, Thomas
    Oppelt, Natascha
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 612 : 1200 - 1214
  • [9] DEVELOPMENT OF A MULTI-SENSOR SYSTEM FOR ROAD CONDITION MAPPING
    Miraliakbari, A.
    Hahn, M.
    Maas, H-G.
    ISPRS TECHNICAL COMMISSION I SYMPOSIUM, 2014, 40-1 : 265 - 272
  • [10] Applying deep learning to real-time UAV-based forest monitoring: Leveraging multi-sensor imagery for improved results
    Marques, Tomas
    Carreira, Samuel
    Miragaia, Rolando
    Ramos, Joao
    Pereira, Antonio
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 245
12345