A new approach for tropical forest area monitoring using multiple spatial resolution satellite sensor imagery

被引：10
|
作者：
Jeanjean, H [1 ]
Achard, F [1 ]
机构：
[1] COMMISS EUROPEAN COMMUNITIES,JOINT RES CTR,SPACE APPLICAT INST,I-21020 ISPRA,VA,ITALY
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1997年 / 18卷 / 11期
关键词：
D O I：
10.1080/014311697217729
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Tropical forest deforestation is a major concern at global, regional, and local scales. Recent advances have demonstrated the feasibility of using coarse spatial resolution remote sensing imagery to assess tropical forest over large areas. To date, few methods have been developed for the estimation of change over large areas. A change detection method based on a combination of NOAA-AVHRR, Landsat TM, and SPOT-HRV data is evaluated on a study site in Vietnam, Southeast Asia. Changes detected with fine spatial resolution imagery are related to AVHRR-derived forest class proportions and fragmentation patterns.
引用
收藏
页码：2455 / 2461
页数：9
相关论文
共 50 条
  • [21] Supporting large-area, sample-based forest inventories with very high spatial resolution satellite imagery
    Falkowski, Michael J.
    Wulder, Michael A.
    White, Joanne C.
    Gillis, Mark D.
    PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT, 2009, 33 (03): : 403 - 423
  • [22] Traffic Monitoring using Very High Resolution Satellite Imagery
    Larsen, Sir Oyen
    Koren, Hans
    Solberg, Rune
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2009, 75 (07): : 859 - 869
  • [23] Exploring the optimum spatial resolution for satellite imagery: A coastal area case study
    Hwang, CS
    Ku, CY
    GIS FOR COASTAL ZONE MANAGEMENT, 2005, : 77 - 93
  • [24] Spatial Pattern Analysis of High Resolution Satellite Imagery: Level Index Approach using Variogram
    Yoo, Hee-Young
    Lee, Kiwon
    Kwon, Byung-Doo
    KOREAN JOURNAL OF REMOTE SENSING, 2006, 22 (05) : 357 - 366
  • [25] MONITORING OF FOREST DISTURBANCES: NEAR-REAL-TIME APPROACH IN CLOUDY AREA BASED ON OPTICAL SATELLITE IMAGERY
    Masse, Antoine
    Simonnet, Gregoire
    Truffier, Amaury
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 3257 - 3259
  • [26] Monitoring Woody Cover Dynamics in Tropical Dry Forest Ecosystems Using Sentinel-2 Satellite Imagery
    Van Passel, Johanna
    De Keersmaecker, Wanda
    Somers, Ben
    REMOTE SENSING, 2020, 12 (08)
  • [27] Quantifying mortality of tropical rain forest trees using high-spatial-resolution satellite data
    Clark, DB
    Castro, CS
    Alvarado, LDA
    Read, JM
    ECOLOGY LETTERS, 2004, 7 (01) : 52 - 59
  • [28] Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem
    Meng, Ran
    Wu, Jin
    Schwager, Kathy L.
    Zhao, Feng
    Dennison, Philip E.
    Cook, Bruce D.
    Brewster, Kristen
    Green, Timothy M.
    Serbin, Shawn P.
    REMOTE SENSING OF ENVIRONMENT, 2017, 191 : 95 - 109
  • [29] Towards automated segmentation of forest inventory polygons on high spatial resolution satellite imagery
    Wulder, Michael A.
    White, Joanne C.
    Hay, Geoffrey J.
    Castilla, Guillermo
    FORESTRY CHRONICLE, 2008, 84 (02): : 221 - 230
  • [30] Monitoring vegetation regeneration after forest fires using satellite imagery
    Twele, A
    Barbosa, P
    NEW STRATEGIES FOR EUROPEAN REMOTE SENSING, 2005, : 41 - 49
12345