Land use and land cover (LULC) of the Republic of the Maldives: first national map and LULC change analysis using remote-sensing data

Wetlands are one of the crucial natural resources. They provide invaluable biodiversity resources, aid in water quality improvement, support ground water recharge, help in moderating climate change and support flood control. Environment is in the other hand, where we live and something, we are very familiar with our day to day life. Geographic Information Systems (GIS), Remote Sensing and Global Positioning System (GPS) were a useful tool for wetland and environmental change analysis and to improve on the classification accuracy. This study investigates population and environmental change of Jarmet wetland and its surrounding area change analysis over the period of 1972 to 2015. The purpose of this study was to show land use/ land cover change of Jarmet wetland and its surrounding environment over years as a response to population growth. For this purpose, multi-temporal satellite imageries (Landsat MSS 1972, TM1986, ETM+ 2000, 2005 and 2015 and SRTM 2000) were obtained and used for LULC change analysis, elevation analysis and change detection analysis. ERDAS Imagine 2015, ARC GIS 10.5.1, Global Mapper11, ENVI 5.0 and DNR Garmin softwares were used to process the image data and accuracy assessment analysis. The result of LULC showed that there is spatial reduction in wetland, forest, Shrubland and grassland in the period of 43 years (1972-2015) by -1,722.8 ha, -296.2 ha, -1,718.7 ha and -661.9 ha respectively, due to increase in the farmland and plantation area as a response to overpopulation, lack of environmental policy implementation and irresponsible for natural resource degradation. The accuracy assessment of LULC change are done for recent satellite image showed the overall accuracy of 84.06% with Kappa index 75.19% this means this classification is accurately classified and handle greater than 75% of error. Finally, this study suggests that create strictly natural resource conservation law, stopping illegal expansion of farmland, educating society about the value of natural resource especially wetland and create a source of income for society rather than farming.

Download Full-text

Coastal Geomorphological and Land Use and Land Cover Study on Some Sites of Gulf of Kachchh, Gujarat, West Coast of India using Multi-Temporal Remote Sensing Data

International Journal of Advanced Remote Sensing and GIS ◽

10.23953/cloud.ijarsg.273 ◽

2017 ◽

Vol 6 (1) ◽

pp. 2192-2203 ◽

Cited By ~ 1

Author(s):

Disha P. Nayak ◽

◽

Madhusudan H. Fulekar ◽

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

West Coast ◽

Remote Sensing Data ◽

Sensing Data ◽

West Coast Of India ◽

Gulf Of Kachchh ◽

Multi Temporal

Download Full-text

Remote Sensing Applications for Monitoring Terrestrial Protected Areas: Progress in the Last Decade

Sustainability ◽

10.3390/su12125016 ◽

2020 ◽

Vol 12 (12) ◽

pp. 5016

Author(s):

Lijun Mao ◽

Mingshi Li ◽

Wenjuan Shen

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Protected Areas ◽

Driving Forces ◽

Remote Sensing Data ◽

Natural Disturbance ◽

Vegetation Dynamic ◽

Sensing Data ◽

Sensing Applications

Terrestrial protected areas (PAs) play an essential role in maintaining biodiversity and ecological processes worldwide, and the monitoring of PAs is a useful tool in assessing the effectiveness of PA management. Advanced remote sensing technologies have been increasingly used for mapping and monitoring the dynamics of PAs. We review the advances in remote sensing-based approaches for monitoring terrestrial PAs in the last decade and identify four types of studies in this field: land use & land cover and vegetation community classification, vegetation structure quantification, natural disturbance monitoring, and land use & land cover and vegetation dynamic analysis. We systematically discuss the satellite data and methods used for monitoring PAs for the four research objectives. Moreover, we summarize the approaches used in the different types of studies. The following suggestions are provided for future studies: (1) development of remote sensing frameworks for local PA monitoring worldwide; (2) comprehensive utilization of multisource remote sensing data; (3) improving methods to investigate the details of PA dynamics; (4) discovering the driving forces and providing measures for PA management. Overall, the integration of remote sensing data and advanced processing methods can support PA management and decision-making procedures.

Download Full-text