CHANGES OF LAND USE MONITORING WITHIN FOREST AREA
Keywords:
Pasrujambe District, Forests, Land use changesAbstract
Pasrujambe District is one of sub-districts in Lumajang Regency which has a forest area. Forests are main source of life for people who live in surrounding villages, start from farming, logging, taking firewood, gathering, and grazing their livestock in forest areas. This phenomenon cannot be avoided from use of forest land for the other land functions, both for settlements, agriculture and other regions. Therefore, it’s needed to be related to changes of land use in forest areas. In this study an evaluation of distribution and extent of land use functions in Pasrujambe District forest area was carried out using 2 (two) methods, namely object-based classification methods and interpretation methods (digitized on screen). The results show us that there are changes of land use in forest areas in 2017, such as industries, plantations, agricultures, plantations, bushes and settlements with total area of 3764.38 Ha and for agricultural land use such as lakes, grasslands and rivers with total area of 799.41 ha
References
Agarwal, C., Green, G.L., Grove, J.M., Evans, T., and Schweik, C., 2000. A Review and Assessment of Land Use Change Models dynamics of space, time, and human choice. 4th International Conference on Integrating GIS and Environmental Modeling, Banff, Alberta Canada
Anderson, J. R., Hardy, E. E., Roach, J. T. dan Witmer, R.E. 1976. A Land Use and Land Cover Classification System For Use With Remote Sensor Data. Washington DC: USGS Professional Paper 964. A revision of the land use classification system as presented in the USGS circular 671
Baatz, M., Schape, A. 2000. Multiresolution Segmentation an Optimization Approach for High Quality Multiscale Image Segmentation. In: Strobl, Angewandte Geographische Informationsverabeitung XII. Wichmann, Heidelberg.
Demers, M. N., Fundamental of Geographic Information System, John Wiley& Sons, Inc., New York, 1997.
Lilesand T. M. dan Kiefer, R. W. 1976. Fifth Edition : Remote Sensing and Image Intrepetation. United Stated America : UG/GCS Information Services, Inc.
Zhang, Y., Maxwell, T. 2006. A Fuzzy Logic Approach to Supervised Segmentation for Object-Oriented Classification. ASPRS Annual Conference, Reno, Nevad, May 1-5, 2006.
