Land use and land cover (LULC) change analysis using TM, ETM+ and OLI Landsat images in district of Okara, Punjab, Pakistan
Tóm tắt
Từ khóa
Tài liệu tham khảo
Ahmad, 2012, A review of remote sensing data change detection: comparison of Faisalabad and Multan Districts, Punjab Province, Pakistan, J. Geogr. Reg. Plann., 5, 236
Ahmed, 2009, Public private mix model in enhancing tuberculosis case detection in District Thatta, Sindh, Pakistan, JPMA (J. Pak. Med. Assoc.), 59, 82
Akhtar, 2017, A phenology based geo-informatics approach to map land use and land cover (2003–2013) by spatial segregation of large heterogenic river basins, Appl. Geo., 88, 48, 10.1016/j.apgeog.2017.09.003
Ali, 2018, Towards a remote sensing and GIS-based technique to study population and urban growth: a case study of multan, Adv. Rem. Sens., 7, 245, 10.4236/ars.2018.73017
Ali, 2019, Role of ICT in crop management, 637
Athick, 2019, Data on land use and land cover changes in Adama Wereda, Ethiopia, on ETM+, TM and OLI- TIRS landsat sensor using PCC and CDM techniques, Data Brief, 24
Athick, 2019, Data on time series analysis of land surface temperature variation in response to vegetation indices in twelve Wereda of Ethiopia using mono window, split window algorithm and spectral radiance model, Data Brief, 27
Ayele, 2018, Time series land cover mapping and change detection analysis using geographic information system and remote sensing, northern Ethiopia, Air Soil. Water Res., 11, 10.1177/1178622117751603
Birhanu, 2019, Impacts of land use and land cover changes on hydrology of the Gumara catchment, Ethiopia, Phys. Chem. Earth, Parts A/B/C, 112, 165, 10.1016/j.pce.2019.01.006
Butt, 2015, Land use change mapping and analysis using Remote Sensing and GIS: a case study of Simly watershed, Islamabad, Pakistan, Egypt. J. Remote Sens. Space Sci., 18, 251
Chaudhary, 2020, Multiple indices based drought analysis by using long term climatic variables over a part of Koel river basin, India, Spatial Info. Res., 28, 273, 10.1007/s41324-019-00287-9
Chaudhuri, 2016, Spatio-temporal dynamics of land cover and land surface temperature in Ganges-Brahmaputra delta: a comparative analysis between India and Bangladesh, Appl. Geo., 68, 68, 10.1016/j.apgeog.2016.01.002
Cheema, 2010, Land use and land cover classification in the irrigated Indus Basin using growth phenology information from satellite data to support water management analysis, Agric. Water Manag., 97, 1541, 10.1016/j.agwat.2010.05.009
Chen, 2017, Urbanization impacts on surface runoff of the contiguous United States, J. Environ. Manag., 100, 470, 10.1016/j.jenvman.2016.11.017
Das, 2019, Predicting the land use and land cover change using Markov model: a catchment level analysis of the Bhagirathi-Hugli River, Spatial Info. Res., 27, 439, 10.1007/s41324-019-00251-7
Ding, 2013, Land-use/land-cover change and its influence on surface temperature: a case study in Beijing City, Int. J. Rem. Sens., 34, 5503, 10.1080/01431161.2013.792966
Fahad, 2018, Consequences of high temperature under changing climate optima for rice pollen characteristics-concepts and perspectives, Arch. Agron Soil Sci., 64, 1473, 10.1080/03650340.2018.1443213
Forkel, 2013, Trend change detection in NDVI time series: effects of inter-annual variability and methodology, Rem. Sens., 5, 2113, 10.3390/rs5052113
Gajbhiye, 2012, Land use and land cover change detection of Indra River watershed through remote sensing using multi-temporal satellite data, Int. J. Geomatics Geosci., 3, 89
Gidado, 2018, Analysis of spatiotemporal land use and land cover changes using remote sensing and GIS: a review, Int. J. Engineer. Technol., 7, 159, 10.14419/ijet.v7i4.34.23850
Gilani, 2015, Decadal land cover change dynamics in Bhutan, J. Environ. Manag., 148, 91, 10.1016/j.jenvman.2014.02.014
Hammad, 2018, Offsetting land degradation through nitrogen and water management during maize cultivation under arid conditions, Land Degrad. Dev., 29, 1366, 10.1002/ldr.2933
Harris, 2014, Remote sensing of vegetation covers dynamics and resilience across southern Africa, Int. J. Appl. Earth Obs. Geoinf., 28, 131
Hussain, 2018
Hussain, 2021, Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan, Geol. Ecol. Landsc., 1
Hussain, 2020, Irrigation scheduling for cotton cultivation, 59
Hussain, 2020, Using GIS tools to detect the land use/land cover changes during forty years in Lodhran District of Pakistan, Environ. Sci. Pollut. Res., 1, 1
Hussain, 2020, Study of land cover/land use changes using RS and GIS: a case study of Multan district, Pakistan, Environ. Monit. Assess., 192, 2, 10.1007/s10661-019-7959-1
Huyen, 2016, Assessing impacts of land use and climate change on soil and water resources in the Srepok watershed, central Highland of Vietnam, Pol. Brief Series, 1
Ibharim, 2015, Mapping mangrove changes in the Matang Mangrove Forest using multi temporal satellite imageries, Ocean Coast. Manag., 114, 64, 10.1016/j.ocecoaman.2015.06.005
Imran, 2018, Impact of Climate Smart Agriculture (CSA) practices on cotton production and livelihood of farmers in Punjab, Pakistan, Sustain., 10, 2101, 10.3390/su10062101
Iqbal, 2014, Spatiotemporal land use land cover change analysis and erosion risk mapping of Azad Jammu and Kashmir, Pakistan, Egypt. J. Rem. Sens. Space Sci., 17, 209
Kantakumar, 2015, Multi-temporal land use classification using hybrid approach, Egypt. J. Rem. Sens. Space Sci., 18, 289
Kawo, 2021, Performance evaluation of GPM-IMERG early and late rainfall estimates over Lake Hawassa catchment, Rift Valley Basin, Ethiopia, Arabian J. Geosci., 14, 256, 10.1007/s12517-021-06599-1
Kawo, 2018, Groundwater quality assessment using water quality index and GIS technique in Modjo River Basin, Central Ethiopia, J. Afr. Earth Sci., 147, 300, 10.1016/j.jafrearsci.2018.06.034
Khalil, 2018, InSAR coherence-based land cover classification of Okara, Pakistan, Egypt. J. Rem. Sens. Space Sci., 21, S23
Khan, 2019, Impact assessment of land use change on surface temperature and agricultural productivity in Peshawar-Pakistan, Environ. Sci. Pollut. Res., 26, 33076, 10.1007/s11356-019-06448-5
Kharazmi, 2018, Monitoring and assessment of seasonal land cover changes using remote sensing: a 30-year (1987–2016) case study of Hamoun Wetland, Iran, Environ. Monit. Assess., 190, 356, 10.1007/s10661-018-6726-z
Kidane, 2019, Evaluating the impacts of climate and land use/land cover (LU/LC) dynamics on the hydrological responses of the upper Blue nile in the central Highlands of Ethiopia, Spatial Info. Res., 27, 151, 10.1007/s41324-018-0222-y
Kiptala, 2013, Land use and land cover classification using phenological variability from MODIS vegetation in the Upper Pangani River Basin, Eastern Africa, Phys. Chem. Earth, Parts A/B/C, 66, 112, 10.1016/j.pce.2013.08.002
Kumar, 2018, Impact of land cover change on land surface temperature: a case study of Spiti Valley, J. Mountain Sci., 15, 1658, 10.1007/s11629-018-4902-9
Liang, 2014, Land cover classification of Landsat data with phenological features extracted from time series MODIS NDVI data, Rem. Sens., 6, 11518, 10.3390/rs61111518
Liaqut, 2019, Impact of urbanization growth on land surface temperature using remote sensing and GIS: a case study of Gujranwala city, Punjab, Pakistan, Int. J. Eco. Environ. Geol., 44
Lin, 2015, Effects of atmospheric correction and pansharpening on LULC classification accuracy using WorldView-2 imagery, Info. Process. Agri., 2, 25
Malik, 2019, Remote sensing and landsat image enhancement using multiobjective PSO based local detail enhancement, J. Ambient Intell. Hum. Comput., 10, 3563, 10.1007/s12652-018-1082-y
Manzoor, 2019, Linking social perception and provision of ecosystem services in a sprawling urban landscape: a case study of Multan, Pakistan, Sustain., 11, 654, 10.3390/su11030654
Mohammed, 2019, Data on time series analysis of land surface temperature variation in response to vegetation indices in twelve Wereda of Ethiopia using mono window, split window algorithm and spectral radiance model, Data Brief, 27
Mubeen, 2021, Effect of plant growth promoting bacteria and drought on spring maize (Zea mays L.), Pakistan J. Bot., 53
Namugize, 2018, Effects of land use and land cover changes on water quality in the uMngeni river catchment, South Africa, Phys. Chem. Earth, Parts A/B/C, 105, 247, 10.1016/j.pce.2018.03.013
Naz, 2017, Modeling the rice land suitability using GIS and multi-criteria decision analysis approach in Sindh, Pakistan, J. Basic Appl. Sci., 13, 26, 10.6000/1927-5129.2017.13.05
Olmanson, 2016, Comparison of Landsat 8 and Landsat 7 for regional measurements of CDOM and water clarity in lakes, Remote Sens. Environ., 185, 119, 10.1016/j.rse.2016.01.007
Omran, 2012, Detection of land-use and surface temperature change at different resolutions, J. Geogr. Inf. Syst., 4, 189
Orimoloye, 2018, Spatiotemporal monitoring of land surface temperature and estimated radiation using remote sensing: human health implications for East London, South Africa, Environ. Earth Sci., 77, 77, 10.1007/s12665-018-7252-6
Pal, 2017, Detection of land use and land cover change and land surface temperature in English Bazar urban centre, Egypt J. Remote Sens. Space Sci., 20, 125
Peng, 2012, Vegetation coverage change and associated driving forces in mountain areas of Northwestern Yunnan, China using RS and GIS, Environ. Monit. Assess., 184, 4787, 10.1007/s10661-011-2302-5
Peng, 2012, Trend analysis of vegetation dynamics in Qinghai–Tibet plateau using hurst exponent, Ecol. Indicat., 14, 28, 10.1016/j.ecolind.2011.08.011
Rahman, 2017, Temporal dynamics of land use/land cover change and its prediction using CA-ANN model for southwestern coastal Bangladesh, Environ. Monit. Assess., 189, 565, 10.1007/s10661-017-6272-0
Rani, 2018, Multi-temporal NDVI and surface temperature analysis for Urban Heat Island inbuilt surrounding of sub-humid region: a case study of two geographical regions, Remote Sens. App. Society Environ., 10, 163
Romaguera, 2018, Detecting geothermal anomalies and evaluating LST geothermal component by combining thermal remote sensing time series and land surface model data, Remote Sens. Environ., 204, 534, 10.1016/j.rse.2017.10.003
Sabagh, 2020, Consequences and mitigation strategies of heat stress for sustainability of soybean (Glycine max L. Merr.) production under the changing climate
Safder, 2019, Assessment of urbanization and urban sprawl analysis through remote sensing and GIS: a case study of Faisalabad, Punjab, Pakistan, Int. J. Academic Res. Business Social Sci., 9
Sahana, 2016, Analyzing land surface temperature distribution in response to land use/land cover change using split window algorithm and spectral radiance model in Sundarban Biosphere Reserve, India, Model. Earth Sys. Environ, 2, 81, 10.1007/s40808-016-0135-5
Sarfo, 2020, Application of geospatial technologies in the COVID-19 Fight of Ghana, Trans. Indian Natl. Acad. Eng., 10.1007/s41403-020-00145-3
Sateesh, 2011, Land use and Land Cover mapping using digital classification technique in Tikamgarh district, Madhya Pradesh, India using Remote Sensing, Int. J. Geomatics Geosci., 2, 519
Saud, 2016, Silicate application increases the photosynthesis and its associated metabolic activities in Kentucky bluegrass under drought stress and post-drought recovery, Environ. Sci. Pollut. Res., 23, 17647, 10.1007/s11356-016-6957-x
Scanlon, 2002, Determining land surface fractional cover from NDVI and rainfall time series for a savanna ecosystem, Remote Sens. Environ., 82, 376, 10.1016/S0034-4257(02)00054-8
Sheikh, 2017, Land suitability assessment for maize crop in Okara district using GIS techniques, Int. J. Life Sci. Res., 5, 37
Sroka, 2019, Generational changes in agriculture: the influence of farm characteristics and socio-economic factors, Agri, 9, 264
Sultana, 2014, Normalized difference vegetation index as a tool for wheat yield estimation: a case study from Faisalabad, Pakistan, Sci. World J., 10.1155/2014/725326
Tan, 2010, Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island, Malaysia, Environ. Earth Sci., 60, 1509, 10.1007/s12665-009-0286-z
Turner, 2001, vol. 401
Usman, 2015, Land use/land cover classification and its change detection using multi-temporal MODIS NDVI data, J. Geosci., 25, 1479
Verburg, 2004, Determinants of land-use change patterns in The Netherlands, Environ. Plann. Plann. Des., 31, 125, 10.1068/b307
Xu, 2016, Detecting different types of directional land cover changes using MODIS NDVI time series dataset, Rem. Sens., 8, 495, 10.3390/rs8060495
Xu, 2010, Change detection of an earthquake-induced barrier lake based on remote sensing image classification, Int. J. Rem. Sens., 31, 3521, 10.1080/01431161003727689
Yang, 2017, The effect of season-long temperature increases on rice cultivars grown in the central and southern regions of China, Front. Plant Sci., 8, 10.3389/fpls.2017.01908
Yuan, 2015, Effects of precipitation intensity and temperature on NDVI-based grass change over northern China during the period from 1982 to 2011, Rem. Sens., 7, 10164, 10.3390/rs70810164
Zahoor, 2019, Improving water use efficiency in Agronomic crop production, 13
Zaidi, 2017, Landsat-5 time series analysis for land use/land cover change detection using NDVI and semi-supervised classification techniques, Pol. J. Environ. Stud., 26, 10.15244/pjoes/68878
Zhang, 2017, Impacts of land use/cover change on terrestrial carbon stocks in Uganda, Phys. Chem. Earth, Parts A/B/C, 101, 195, 10.1016/j.pce.2017.03.005
Zhang, 2016, Mass change of glaciers in Muztag Ata–Kongur Tagh, eastern Pamir, China from 1971/76 to 2013/14 as derived from remote sensing data, PLoS One, 11, 10.1371/journal.pone.0147327