Land use/land cover and land surface temperature analysis in Wayanad district, India, using satellite imagery

被引:50
作者
John, Jovish [1 ]
Bindu, G. [2 ]
Srimuruganandam, B. [1 ]
Wadhwa, Abhinav [3 ]
Rajan, Poornima [2 ]
机构
[1] Vellore Inst Technol, Sch Civil Engn, Vellore 632014, Tamil Nadu, India
[2] Nansen Environm Res Ctr India, Kochi, Kerala, India
[3] Vellore Inst Technol, Ctr Disaster Mitigat & Management, Vellore, Tamil Nadu, India
关键词
Land use/land cover; land surface temperature; vegetation indices; GIS and remote sensing; URBAN HEAT-ISLAND; DECISION-TREE CLASSIFICATION; SUPPORT VECTOR MACHINES; SPATIOTEMPORAL ANALYSIS; LOGISTIC-REGRESSION; WESTERN-GHATS; CITY; AREAS; DYNAMICS; GROWTH;
D O I
10.1080/19475683.2020.1733662
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
This paper assesses Land Use/Land Cover (LULC) classification and Land Surface Temperature (LST) in Wayanad district during the years 2004 and 2018. The LULC classification of Wayanad district is identified using IRS P6 (Linear Imaging Self Scanner) LISS- III, and LST using thermal band of (Enhanced Thematic Mapper Plus) ETM+ imageries. Maximum likelihood classification (MLC) technique is opted to categorize six land-use features: water body, paddy field, forest, dense, agricultural crops and built-up. From 2004 to 2018, impacts of changes in features are correlated with the raised LST. Overall vegetation cover shows an increasing pattern during the study period. The water bodies in Wayanad district improved from 4.30 to 32.68 sq.km due to construction of two dams: Banasurasagar and Karappuzha. However, agricultural crops and paddy field area have decreased by 4.7% in last 14 years. Decreasing rate of agricultural crops can be directly linked to population growth, thereby developing various built-up zones for basic needs. Forest and dense vegetated cover area are increased nearly 2.3 and 3.0%, respectively, during the study period, while bamboo degradation has also been witnessed from 2008 to 2013. The built-up class shows growth from 1.48 to 5.69% of total land area during 2004 and 2018. LULC have noticeable influences on LST with a negative correlation between vegetation cover and LST with a decrease of 1.75oC. The study findings can help the local authorities to implement urban planning regulations for public awareness and policy makers for a sustainable planning and management in forthcoming years.
引用
收藏
页码:343 / 360
页数:18
相关论文
共 85 条
[1]   Modeling of urban growth in tsunami-prone city using logistic regression: Analysis of Banda Aceh, Indonesia [J].
Achmad, Ashfa ;
Hasyim, Sirojuzilam ;
Dahlan, Badaruddin ;
Aulia, Dwira N. .
APPLIED GEOGRAPHY, 2015, 62 :237-246
[2]  
Agarwal R., 2014, International Journal of Computer and Information Technology, V4, P1069
[3]  
Amirtham L.R., 2009, INT C URBAN CLIM 201, P1
[4]  
Anderson K., 2017, Journal of Water Resource and Protection, V9, P786, DOI 10.4236/jwarp.2017.97052
[5]  
[Anonymous], 2018, LANDS 7 L7 DAT US HD, V7
[6]   Drainage efficiency in urban areas: a case study [J].
Aronica, GT ;
Lanza, LG .
HYDROLOGICAL PROCESSES, 2005, 19 (05) :1105-1119
[7]   Effects of Land Use Dynamics on Hydrological Response of Watershed: a Case Study of Chittar Watershed, Vamanapuram River Basin, Thiruvananthapuram District, Kerala, India [J].
Arulbalaji, P. ;
Maya, K. .
WATER CONSERVATION SCIENCE AND ENGINEERING, 2019, 4 (01) :33-41
[8]   Geostatistical classification for remote sensing: an introduction [J].
Atkinson, PM ;
Lewis, P .
COMPUTERS & GEOSCIENCES, 2000, 26 (04) :361-371
[9]  
Badarinath KVS, 2005, PHOTONIRVACHAK-J IND, V33, P495
[10]   Nearest neighbor classification of remote sensing images with the maximal margin principle [J].
Blanzieri, Enrico ;
Melgani, Farid .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (06) :1804-1811