30
Views
16
CrossRef citations to date
0
Altmetric
Original Articles

Integration of multi-seasonal remotely-sensed images for improved landuse classification of a hilly watershed using geographical information systems

&
Pages 1679-1688 | Received 15 Jun 1994, Accepted 31 Jul 1995, Published online: 27 Apr 2007

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (2)

Sunmin Lee, Jeong-Cheol Kim, Hyung-Sup Jung, Moung Jin Lee & Saro Lee. (2017) Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea. Geomatics, Natural Hazards and Risk 8:2, pages 1185-1203.
Read now
ChrisJ. Arbuckle, AlexanderD. Huryn & StevenA. Israel. (1999) Landcover Classification in the Taieri River Catchment, New Zealand: A Focus on the Riparian Zone. Geocarto International 14:3, pages 10-16.
Read now

Articles from other publishers (14)

S. Sankaran & S. Siva Rama Krishnan. 2022. Water Quality, Assessment and Management in India. Water Quality, Assessment and Management in India 197 218 .
K. Santhoshkumaar, N. Muralimohan, R. Dhinaharan, M. Chandru & P. Aravindhan. Site suitability for agriculture from barren land using remote sensing and GIS. Site suitability for agriculture from barren land using remote sensing and GIS.
Sunmin Lee, Saro Lee, Moung-Jin Lee & Hyung-Sup Jung. (2018) Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools. Sustainability 10:3, pages 648.
Crossref
Moung-Jin Lee, Wonkyong Song & Saro Lee. (2015) Habitat Mapping of the Leopard Cat (Prionailurus bengalensis) in South Korea Using GIS. Sustainability 7:4, pages 4668-4688.
Crossref
Saro Lee, Kyo-Young Song, Yongsung Kim & Inhye Park. (2012) Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network modelCartographie régionale du potentiel de productivité des aquifères à partir d’un système d’information géographique base sur un modèle de réseau de neurones artificielsMapeo de la productividad potencial de agua subterránea regional usando un sistema de información geográfica (SIG) basado en un modelo de redes neuronales artificiales基于人工神经网络模拟的GIS系统绘制区域地下水开采潜力图인공신경망 모델에 기반한 지리정보시스템(GIS)을 이용한 광역적 지하수 부존 가능성도 작성Mapeamento do potencial de produtividade regional de águas subterrâneas usando um modelo de rede neural artificial baseado num sistema de informação geográfica (SIG). Hydrogeology Journal 20:8, pages 1511-1527.
Crossref
Saro Lee, Inhye Park & Jong-Kuk Choi. (2011) Spatial Prediction of Ground Subsidence Susceptibility Using an Artificial Neural Network. Environmental Management 49:2, pages 347-358.
Crossref
Ismail Jasmin & P. Mallikarjuna. (2011) Review: Satellite-based remote sensing and geographic information systems and their application in the assessment of groundwater potential, with particular reference to IndiaRevue: Systemes d’information geographique et de teledetection spatiale et leur utilisation pour l’evaluation des ressources potentielles en eaux souterraines, avec une reference specifique a l’IndeRevisión: Sistemas de información geográfica y teledetección basada en satélites y su aplicación en la evaluación del potencial de agua subterránea, con referencia particular a IndiaRevisão: Deteção remota de satélite e sistemas de informação geográfica e a sua aplicação na avaliação do potencial da água subterrânea, com referência particular à Índia. Hydrogeology Journal 19:4, pages 729-740.
Crossref
Hyun-Joo Oh, Yong-Sung Kim, Jong-Kuk Choi, Eungyu Park & Saro Lee. (2011) GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. Journal of Hydrology 399:3-4, pages 158-172.
Crossref
Surekha Dudhani, A.K. Sinha & S.S. Inamdar. (2006) Assessment of small hydropower potential using remote sensing data for sustainable development in India. Energy Policy 34:17, pages 3195-3205.
Crossref
Yafit Cohen & Maxim Shoshany. (2002) A national knowledge-based crop recognition in Mediterranean environment. International Journal of Applied Earth Observation and Geoinformation 4:1, pages 75-87.
Crossref
Dong-Yeon Kim & Jin-Il Kim. (2002) A Design of Clustering Classification Systems using Satellite Remote Sensing Images Based on Design Patterns. The KIPS Transactions:PartB 9B:3, pages 319-326.
Crossref
J Adinarayana, K Gopal Rao, N Rama Krishna, P Venkatachalam & J.K Suri. (1999) A rule-based soil erosion model for a hilly catchment. CATENA 37:3-4, pages 309-318.
Crossref
H. Tsuhasa & S.A.P. Ceballos. (1997) Comparison between classified result of paddy field and statistic data of the production. Comparison between classified result of paddy field and statistic data of the production.
J. Adinarayana. 1997. Applications of Systems Approaches at the Farm and Regional Levels Volume 1. Applications of Systems Approaches at the Farm and Regional Levels Volume 1 439 446 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.