Remote Sensing Hazard Classification

Remote Sensing Hazard Classification is a scientific methodology that systematically categorizes natural or anthropogenic hazards by analyzing and interpreting remotely sensed data to identify, map, and assess spatial and temporal risk patterns.

20

Publications

1.3K

Citations

83

Authors

37

Institutions

Publications per year

2017–2026

12

Authors

83

  1. MM
    Md. Monirul Islam

    Bangladesh Agricultural University, Bangladesh

    2 publications · 157 citations

    2

    h-index

  2. KS
    Kimiteru Sado

    Kitami Institute of Technology, Japan

    2 publications · 157 citations

    2

    h-index

  3. AS
    Alireza Sharifi

    Shahid Rajaee Teacher Training University, Iran

    1 publications · 59 citations

    1

    h-index

  4. IZ
    Izni Zahidi

    Monash University Malaysia, Malaysia

    1 publications · 15 citations

    1

    h-index

  5. XY
    Xiaomei Yang

    Institute of Geographic Sciences and Natural Resources Research, China

    1 publications · 16 citations

    1

    h-index

1–5 of 83

Venues

  1. Remote Sensing

    6 publications · 139 citations

    6

    h-index

  2. Hydrological Processes

    2 publications · 157 citations

    2

    h-index

  3. South African Journal of Geomatics

    SAJG · 1 publications · 12 citations

    1

    h-index

  4. Applied Geography

    1 publications · 61 citations

    1

    h-index

  5. Mathematics

    1 publications · 15 citations

    1

    h-index

1–5