Traditional ecological knowledge based indicators for monitoring rangeland conditions in Thal and Cholistan Desert, Pakistan
Tài liệu tham khảo
Abbas, 2021, Strawberry fungal leaf scorch disease identification in real-time strawberry field using deep learning architectures, Plants, 10, 2643, 10.3390/plants10122643
Ahmad, 2021, A synthesis of spatial forest assessment studies using remote sensing data and techniques in Pakistan, Forests, 12, 1211, 10.3390/f12091211
Araya, 2010, Analysis and modeling of urban land cover change in Setúbal and Sesimbra, Portugal, Remote Sens., 2, 1549, 10.3390/rs2061549
Artis, 1982, Survey of emissivity variability in thermography of urban areas, Remote Sens. Environ., 12, 313, 10.1016/0034-4257(82)90043-8
Baloch, 2021, Shallow groundwater quality assessment and its suitability analysis for drinking and irrigation purposes, Water, 13, 1
Baqa, 2021, Monitoring and modeling the patterns and trends of urban growth using urban sprawl matrix and CA-Markov model: a case study of Karachi, Pakistan, Land, 10, 10.3390/land10070700
Baqa, 2022, Characterizing spatiotemporal variations in the urban thermal environment related to land cover changes in Karachi, Pakistan, from 2000 to 2020, Remote Sens., 14, 2164, 10.3390/rs14092164
Behmanesh, 2016, Rangeland degradation assessment: a new strategy based on the ecological knowledge of indigenous pastoralists, Solid Earth, 7, 611, 10.5194/se-7-611-2016
Bernstein, 2005, Validation of the QUick atmospheric correction (QUAC) algorithm for VNIR-SWIR multi- and hyperspectral imagery, Alg. Technol. Multispectral, Hyperspectral, Ultraspectral Imag. XI, 5806, 668, 10.1117/12.603359
Chen, 2004, Monitoring the seasonal bare soil areas in Beijing using multitemporal TM images, 5, 3379
Chen, 2006, Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes, Remote Sens. Environ., 104, 133, 10.1016/j.rse.2005.11.016
Cohen, 2004, Urban growth in developing countries: a review of current trends and a caution regarding existing forecasts, World Dev., 32, 23, 10.1016/j.worlddev.2003.04.008
Datta, 2017, Study of various factors influence on land surface temperature in urban environment, J. Urban Environ. Eng., 11, 58, 10.4090/juee.2017.v11n1.58-62
Fan, 2008, Temporal and spatial change detecting (1998-2003) and predicting of land use and land cover in Core corridor of Pearl River Delta (China) by using TM and ETM+ images, Environ. Monit. Assess., 137, 127, 10.1007/s10661-007-9734-y
Foody, 2002, Status of land cover classification accuracy assessment, Remote Sens. Environ., 80, 185, 10.1016/S0034-4257(01)00295-4
Ghaderizadeh, 2022, Multiscale dual-branch residual spectral–spatial network with attention for hyperspectral image classification, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 15, 5455, 10.1109/JSTARS.2022.3188732
Ghaderizadeh, 2021, Hyperspectral image classification using a hybrid 3D-2D convolutional neural networks, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 14, 7570, 10.1109/JSTARS.2021.3099118
Hamza, 2021, The relationship between neighborhood characteristics and homicide in Karachi, Pakistan, Sustainability, 13, 5520, 10.3390/su13105520
Hou, 2019, Scenario-based modelling for urban sustainability focusing on changes in cropland under rapid urbanization: a case study of Hangzhou from 1990 to 2035, Sci. Total Environ., 661, 422, 10.1016/j.scitotenv.2019.01.208
Hu, 2021, Evaluation of vegetation indices and phenological metrics using time-series modis data for monitoring vegetation change in Punjab, Pakistan, Water, 13, 1, 10.3390/w13182550
Hu, 2010, Influence of land use change on urban heat island derivedfrom multi-sensor data, Int. J. Climatol., 30, 1382, 10.1002/joc.1984
Jalayer, 2022, Modeling and predicting land use land cover spatiotemporal changes: a case study in Chalus Watershed, Iran, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 15, 5496, 10.1109/JSTARS.2022.3189528
Khan, 2022, MaxEnt modelling and impact of climate change on habitat suitability variations of economically important chilgoza pine (Pinus gerardiana Wall.) in South Asia, Forests, 13, 715, 10.3390/f13050715
Khare, 2019, Assessment of spatio-temporal patterns of black spruce bud phenology across Quebec based on MODIS-NDVI time series and field observations, Remote Sens., 11, 10.3390/rs11232745
Li, 2014, Coordination of supply chain with a dominant retailer under demand disruptions, Math. Probl. Eng., 2014
Majeed, 2022, A detailed ecological exploration of the distribution patterns of wild poaceae from the Jhelum District (Punjab), Pakistan, Sustainability, 14, 3786, 10.3390/su14073786
Manatsa, 2017, Improved predictability of droughts over southern Africa using the standardized precipitation evapotranspiration index and ENSO, Theor. Appl. Climatol., 127, 259, 10.1007/s00704-015-1632-6
Margono, 2012, Mapping and monitoring deforestation and forest degradation in Sumatra (Indonesia) using Landsat time series data sets from 1990 to 2010, Environ. Res. Lett., 7, 10.1088/1748-9326/7/3/034010
Masek, 2000, Dynamics of urban growth in the Washington DC metropolitan area, 1973-1996, from Landsat observations, Int. J. Remote Sens., 21, 3473, 10.1080/014311600750037507
Mirzaei, 2020, Urban heat island monitoring and impacts on citizen's general health status in Isfahan metropolis: a remote sensing and field survey approach, Remote Sens., 12, 1, 10.3390/rs12081350
Moazzam, 2022, Trends of rainfall variability and drought monitoring using standardized precipitation index in a scarcely gauged basin of Northern Pakistan, Water, 14, 1132, 10.3390/w14071132
Mosammam, 2017, Monitoring land use change and measuring urban sprawl based on its spatial forms: the case of Qom city, Egypt. J. Remote Sens. Space Sci., 20, 103
Moulin, 1997, Global-scale assessment of vegetation phenology using NOAA/AVHRR satellite measurements, J. Clim., 10, 1154, 10.1175/1520-0442(1997)010<1154:GSAOVP>2.0.CO;2
Mumtaz, 2021, Impacts of reduced deposition of atmospheric nitrogen on coastal marine eco-system during substantial shift in human activities in the twenty-first century, Geomat. Nat. Hazards Risk, 12, 2023, 10.1080/19475705.2021.1949396
Mushore, 2017, Assessing the potential of integrated Landsat 8 thermal bands, with the traditional reflective bands and derived vegetation indices in classifying urban landscapes, Geocarto Int., 32, 886, 10.1080/10106049.2016.1188168
Mushore, 2017, Prediction of future urban surface temperatures using medium resolution satellite data in Harare metropolitan city, Zimbabwe, Build. Environ., 122, 397, 10.1016/j.buildenv.2017.06.033
Omran, 2012, Detection of land-use and surface temperature change at different resolutions, J. Geogr. Inf. Syst., 04, 189
Pauleit, 2005, Modeling the environmental impacts of urban land use and land cover change—a study in Merseyside, UK, Landsc. Urban Plan., 71, 295, 10.1016/S0169-2046(04)00083-0
Qāsim, 2012, Determinants of farm income and agricultural risk management strategies : the case of rain-fed farm households in Pakistan's Punjab, Int. R. Dev., 3
Rosin, 2003, Evaluation of global image thresholding for change detection, Pattern Recognit. Lett., 24, 2345, 10.1016/S0167-8655(03)00060-6
Rozenstein, 2011, Comparison of methods for land-use classification incorporating remote sensing and GIS inputs, Appl. Geogr., 31, 533, 10.1016/j.apgeog.2010.11.006
Salama, 2012, Decadal variations of land surface temperature anomalies observed over the Tibetan Plateau by the Special Sensor Microwave Imager (SSM/I) from 1987 to 2008, Clim. Change, 114, 769, 10.1007/s10584-012-0427-3
Scarrott, 2019, From land to sea, a review of hypertemporal remote sensing advances to support ocean surface science, Water, 11, 10.3390/w11112286
Seelan, 2003, Remote sensing applications for precision agriculture: a learning community approach, Remote Sens. Environ., 88, 157, 10.1016/j.rse.2003.04.007
Sobrino, 2004, Land surface temperature retrieval from LANDSAT TM 5, Remote Sens. Environ., 90, 434, 10.1016/j.rse.2004.02.003
Srivanit, 2012, Assessing the impact of urbanization on urban thermal environment: a case study of Bangkok Metropolitan, Int. J. Appl. Sci. Technol., 2, 243
Tariq, 2023, Quantitative comparison of geostatistical analysis of interpolation techniques and semiveriogram spatial dependency parameters for soil atrazine contamination attribute, 261
Tariq, 2023, A series of spatio-temporal analyses and predicting modeling of land use and land cover changes using an integrated Markov chain and cellular automata models, Environ. Sci. Pollut. Res., 30, 47470, 10.1007/s11356-023-25722-1
Tariq, 2022, Spatio-temporal variation of seasonal heat islands mapping of Pakistan during 2000–2019, using day-time and night-time land surface temperatures MODIS and meteorological stations data, Remote Sens. Appl. Soc. Environ., 27
Tariq, 2023, Spatio-temporal variation in surface water in Punjab, Pakistan from 1985 to 2020 using machine-learning methods with time-series remote sensing data and driving factors, Agric. Water Manage., 280
Tariq, 2020, Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data, Environ. Earth Sci., 79, 40, 10.1007/s12665-019-8766-2
Tariq, 2020, CA-Markov chain analysis of seasonal land surface temperature and land use landcover change using optical multi-temporal satellite data of Faisalabad, Pakistan, Remote Sens., 12, 1, 10.3390/rs12203402
Tariq, 2021, Characterization of the 2014 indus river flood using hydraulic simulations and satellite images, Remote Sens., 13, 2053, 10.3390/rs13112053
Tariq, 2022, Impact of spatio-temporal land surface temperature on cropping pattern and land use and land cover changes using satellite imagery, Hafizabad District, Punjab, Province of Pakistan, Arabian J. Geosci., 15, 1045, 10.1007/s12517-022-10238-8
Wahla, 2022, Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models, Geocarto Int., 0, 1
Wahla, 2022, Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models, Geocarto Int., 37, 14963, 10.1080/10106049.2022.2093411
Wang, 2012, Impacts of urbanization on stream habitats and macroinvertebrate communities in the tributaries of Qiangtang River, China, Hydrobiologia, 680, 39, 10.1007/s10750-011-0899-6
Wang, 2010, Assessment of climate change impact on residential building heating and cooling energy requirement in Australia, Build. Environ., 45, 1663, 10.1016/j.buildenv.2010.01.022
Wania, 2014, Mapping recent built-up area changes in the city of Harare with high resolution satellite imagery, Appl. Geogr., 46, 35, 10.1016/j.apgeog.2013.10.005
Wessels, 2011, Impact of communal land use and conservation on woody vegetation structure in the Lowveld savannas of South Africa, For. Ecol. Manage., 261, 19, 10.1016/j.foreco.2010.09.012
Xiao, R., Ouyang, Z., Zheng, H., LI, W., Schienke, E.W., & Wang, X. (2007). Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China. J. Environ. Sci., 19(2), 250–256. 10.1016/S1001-0742(07)60041-2.
Xue, 2017, Significant remote sensing vegetation indices: a review of developments and applications, J. Sens., 2017, 10.1155/2017/1353691
Yuan, 2007, Com type="Periodical"parison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery, Remote Sens. Environ., 106, 375, 10.1016/j.rse.2006.09.003
Zainab, 2021, Development of web-based GIS alert system for informing environmental risk of dengue infections in major cities of Pakistan, Geosfera Indones., 6, 77, 10.19184/geosi.v6i1.20792
Zhang, 2021, Assessing of urban vegetation biomass in combination with LiDAR and high-resolution remote sensing images, Int. J. Remote Sens., 42, 964, 10.1080/01431161.2020.1820618