Land cover change assessment using random forest and CA markov from remote sensing images in the protected forest of South Malang, Indonesia

被引:5
|
作者
Purwanto [1 ]
Latifah, Siti [2 ]
Yonariza [3 ]
Akhsani, Farid [1 ]
Sofiana, Eva Indra [1 ]
Ferdiansah, Mohammad Riski [1 ]
机构
[1] Univ Negeri Malang, Malang, Indonesia
[2] Univ Sumatera Utara, Medan, Indonesia
[3] Univ Andalas, Padang, Indonesia
关键词
Protected forest; Land cover change; Random forest; CA markov; REGION;
D O I
10.1016/j.rsase.2023.101061
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Protected forest has important roles in protecting life support systems through water manage-ment, maintain micro climate stability, flood prevention, erosion control, prevention of seawater intrusion and maintenance of soil fertility. Deforestation in protected forest areas will reduce the roles, however, deforestation appeared to occur in forested areas of Bantur Regency. Infrastruc-ture development which is growing rapidly and the compleexity of economic activities is driving deforestation in this region. The deforestation caused water supply problems, landslide and de-creased endemic bird population ("rangkong") in study areas. Therefore it is necessary to identify deforestation through land cover change assessment. This study aims at (1) quantifying the forest land cover changes in protected forest areas of Bantur and Donomulyo Regency, (2) identifying environmental condition in protected forest areas of Bantur and Donomulyo Regency. Landsat TM, ETM+ and 8 were used together with Random Forest classification for mapping the forest areas. Carbon Monoxide (CO) and temperature were used as biophysical factors in the model. The results of this study suggested the continuing deforestation with the existence of roads, economic activity, and tourism development triggered the deforestation pattern. Role of community was also found to affect the nature of deforestation.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Land use/land cover change assessment of Halda watershed using remote sensing and GIS
    Chowdhury, Masuma
    Hasan, Mohammad Emran
    Abdullah-Al-Mamun, M. M.
    [J]. EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 2020, 23 (01): : 63 - 75
  • [22] Forest cover assessment using remote-sensing techniques in Crete Island, Greece
    Elhag, Mohamed
    Boteva, Silevna
    Al-Amri, Nassir
    [J]. OPEN GEOSCIENCES, 2021, 13 (01) : 345 - 358
  • [23] Land cover change across 45 years in the world's largest mangrove forest (Sundarbans): the contribution of remote sensing in forest monitoring
    Akbar Hossain, Kanan
    Masiero, Mauro
    Pirotti, Francesco
    [J]. EUROPEAN JOURNAL OF REMOTE SENSING, 2022,
  • [24] APPLICATION OF REMOTE SENSING AND GIS IN LAND USE/LAND COVER MAPPING AND CHANGE DETECTION IN SHASHA FOREST RESERVE, NIGERIA
    Olokeogun, O. S.
    Iyiola, O. F.
    Iyiola, K.
    [J]. ISPRS TECHNICAL COMMISSION VIII SYMPOSIUM, 2014, 40-8 : 613 - 616
  • [25] Using the Random Forest classification for land cover interpretation of Landsat images in the Prykarpattya region of Ukraine
    Tokar, Olha
    Vovk, Olena
    Kolyasa, Lubov
    Havryliuk, Serhii
    Korol, Mykola
    [J]. 2018 IEEE 13TH INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE ON COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES (CSIT), VOL 1, 2018, : 241 - 244
  • [26] Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review
    Wendy Miranda-Castro
    Rosa Acevedo-Barrios
    Milton Guerrero
    [J]. Contemporary Problems of Ecology, 2022, 15 : 717 - 729
  • [27] Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review
    Miranda-Castro, Wendy
    Acevedo-Barrios, Rosa
    Guerrero, Milton
    [J]. CONTEMPORARY PROBLEMS OF ECOLOGY, 2022, 15 (06) : 717 - 729
  • [28] Assessment of Decadal land use land cover change using Random Forest Classifier in Google Earth Engine for Himachal Pradesh, India
    Thakur, Smriti
    Samant, S. S.
    Singh, R. K.
    [J]. EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS XIII, 2022, 12268
  • [29] Simulating Forest Cover Changes of Bannerghatta National Park Based on a CA-Markov Model: A Remote Sensing Approach
    Adhikari, Sanchayeeta
    Southworth, Jane
    [J]. REMOTE SENSING, 2012, 4 (10) : 3215 - 3243
  • [30] Toward operational monitoring of forest cover change in California using multitemporal remote sensing data
    Rogan, J
    Franklin, J
    Stow, D
    Levien, L
    Fischer, C
    [J]. IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 3090 - 3092