scholarly journals Habitat metrics based on multi‐temporal Landsat imagery for mapping large mammal habitat

2019 ◽  
Vol 6 (1) ◽  
pp. 52-69 ◽  
Author(s):  
Julian Oeser ◽  
Marco Heurich ◽  
Cornelius Senf ◽  
Dirk Pflugmacher ◽  
Elisa Belotti ◽  
...  
Keyword(s):  
Landsat Imagery ◽  
Large Mammal ◽  
Multi Temporal

scholarly journals Remote Sensing in Predicting Development Patterns of Built-up Land

2021 ◽  
Vol 2 (2) ◽  
pp. 56-64
Author(s):  
Iqbal Eko Noviandi ◽  
Ramadhan Alvien Hanif ◽  
Hasanah Rahma Nur ◽  
Nandi
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Population Growth Rate ◽  
Landsat Imagery ◽  
Temporal Analysis ◽  
West Java ◽  
Development Patterns ◽  
Human Needs ◽  
Multi Temporal ◽  
Total Growth

Indonesia is a developing country whose construction and development are centered on the island of Java, especially in West Java Province. Sukabumi City is one of the areas in West Java. The development of urban areas is expanding due to various human needs to carry out the construction of buildings. Remote sensing that can be used to store developments with multi-temporal analysis with materials is Landsat imagery from 2001 to 2020. The method used is the Normalized Difference Built-up Index (NDBI). The purpose of this study is to map the development of the built-up land from year to year and predict the following years. The results of the research on the significant changes in built-up land occurred between 2013-2020, while from 2001 to 2013 there was not much change. Based on the research results, the total growth of built-up land was 1.539% per year with a population growth rate of 1.4% per year. The results of the analysis show that the area of ​​land built in Sukabumi City in 2028 is 186,7194 km2 or has increased by 21,2808 km2 since 2020.

Multi-Temporal Landsat Remote Sensing for Forest Landscape Fragmentation Analysis in the Yoko Forest, Kisangani, DRC

2019 ◽  
pp. 1477-1496
Author(s):  
Jean-Fiston Mikwa Ngamba ◽  
Ewango Corneille Ekokinya ◽  
Cush Ngonzo Luwesi ◽  
Yves-Dady Botula Kahindo ◽  
Muhogwa Jean Marie ◽  
...  
Keyword(s):  
Water Resources ◽  
Large Scale ◽  
Democratic Republic Of Congo ◽  
Integrated Management ◽  
Landsat Imagery ◽  
Landscape Fragmentation ◽  
Forest Degradation ◽  
Congo Basin ◽  
Forest Landscape ◽  
Multi Temporal

This study assessed the impact of human activities on deforestation and sustainability of water resources and livelihoods in the Congo Basin. It mainly aimed to assess forest degradation in the Yoko reserve from 1976 to 2015 and investigate the compatibility of Landsat imagery for forest monitoring. Digital Image processing for unsupervised classification was done using ENVI software while supervised classification was done by means of ArcGIS 10. Results show that forest landscape faced large scale human induced fragmentation over the last 40 years. If these trends continue, they will affect the sustainability of water resources and livelihoods in the Congo Basin of the Democratic Republic of Congo. Hence, policy makers need to look at key drivers and address impacts that may threaten the future of Hydrological Ecosystems Services, including water and land resources in the Congo Basin. Authorities have to apply an Integrated Management of Water, Land and Ecosystems.

scholarly journals Mapping paddy rice distribution using multi-temporal Landsat imagery in the Sanjiang Plain, northeast China

2015 ◽  
Vol 10 (1) ◽  
pp. 49-62 ◽  
Author(s):  
Cui Jin ◽  
Xiangming Xiao ◽  
Jinwei Dong ◽  
Yuanwei Qin ◽  
Zongming Wang
Keyword(s):  
Northeast China ◽  
Landsat Imagery ◽  
Sanjiang Plain ◽  
Paddy Rice ◽  
The Sanjiang Plain ◽  
Rice Distribution ◽  
Multi Temporal

scholarly journals Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery

2013 ◽  
Vol 134 ◽  
pp. 392-402 ◽  
Author(s):  
Jinwei Dong ◽  
Xiangming Xiao ◽  
Bangqian Chen ◽  
Nathan Torbick ◽  
Cui Jin ◽  
...  
Keyword(s):  
Landsat Imagery ◽  
Rubber Plantations ◽  
Multi Temporal

Remote sensing of crop residue cover using multi-temporal Landsat imagery

2012 ◽  
Vol 117 ◽  
pp. 177-183 ◽  
Author(s):  
Baojuan Zheng ◽  
James B. Campbell ◽  
Kirsten M. de Beurs
Keyword(s):  
Remote Sensing ◽  
Crop Residue ◽  
Landsat Imagery ◽  
Multi Temporal
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