ArticleEnvironmental science and pollution research international2020
Using GIS tools to detect the land use/land cover changes during forty years in Lodhran District of Pakistan.
Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Visual Image Design Based on Multi-sensor Machine Learning for Monitoring Plateau Lake Dynamics and Pasture Change.Scientific reports · 2026Article
- A geospatial and statistical analysis of land surface temperature in response to land use land cover changes and urban heat island dynamics.Scientific reports · 2025Article
- Application of a Multi-Layer Perceptron and Markov Chain Analysis-Based Hybrid Approach for Predicting and Monitoring LULCC Patterns Using Random Forest Classification in Jhelum District, Punjab, Pakistan.Sensors (Basel, Switzerland) · 2024Article
- Article
- Using space-time scan statistic for studying the effects of COVID-19 in Punjab, Pakistan: a guideline for policy measures in regional agriculture.Environmental science and pollution research international · 2023Article
- Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation.Scientific reports · 2022Article
- Monitoring land use land cover changes and its impacts on land surface temperature over Mardan and Charsadda Districts, Khyber Pakhtunkhwa (KP), Pakistan.Environmental monitoring and assessment · 2022Article
- An integrated approach of logistic-MCE-CA-Markov to predict the land use structure and their micro-spatial characteristics analysis in Wuhan metropolitan area, Central China.Environmental science and pollution research international · 2022Article
- Dynamics of human-induced lakes and their impact on land surface temperature in Toshka Depression, Western Desert, Egypt.Environmental science and pollution research international · 2022Article
- Are there differences in the forces driving the conversion of different non-urban lands into urban use? A case study of Beijing.Environmental science and pollution research international · 2022Article
- Spatio-temporal variation in land use/land cover pattern and channel migration in Majuli River Island, India.Environmental monitoring and assessment · 2021Article
- Monitoring spatiotemporal variation of groundwater level and salinity under land use change using integrated field measurements, GIS, geostatistical, and remote-sensing approach: case study of the Feija aquifer, Middle Draa watershed, Moroccan Sahara.Environmental monitoring and assessment · 2021Article
- Developing an SDSS for optimal sustainable roof covering planning based on UHI variation at neighborhood scale.Environmental monitoring and assessment · 2021Article
- Advances in Cereal Crop Genomics for Resilience under Climate Change.Life (Basel, Switzerland) · 2021Review
- Environmental monitoring and prediction of land use and land cover spatio-temporal changes: a case study from El-Omayed Biosphere Reserve, Egypt.Environmental science and pollution research international · 2020Article
- Developing the first halophytic turfgrasses for the urban landscape from native Arabian desert grass.Environmental science and pollution research international · 2020Article
- Environmental toxicology and associated human health risks.Environmental science and pollution research international · 2020Article
- Study of land cover/land use changes using RS and GIS: a case study of Multan district, Pakistan.Environmental monitoring and assessment · 2019Article
- Geospatial analysis of wetlands based on land use/land cover dynamics using remote sensing and GIS in Sindh, Pakistan.Science progressArticle
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Authors and funding
13 authors.
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Abstract
Land use/land cover (LULC) change has serious implications for environment as LULC is directly related to land degradation over a period of time and results in many changes in the environment. Monitoring the locations and distributions of LULC changes is important for establishing links between regulatory actions, policy decisions, and subsequent LULC activities. The normalized difference vegetation index (NDVI) has the potential ability to identify the vegetation features of various eco-regions and provides valuable information as a remote sensing tool in studying vegetation phenology cycles. Similarly, the normalized difference built-up index (NDBI) may be used for quoting built-up land. This study aims to detect the pattern of LULC, NDBI, and NDVI change in Lodhran district, Pakistan, from the Landsat images taken over 40 years, considering four major LULC types as follows: water bodies, built-up area, bare soil, and vegetation. Supervised classification was applied to detect LULC changes observed over Lodhran district as it explains the maximum likelihood algorithm in software ERDAS imagine 15. Most farmers (46.6%) perceived that there have been extreme changes of onset of temperature, planting season, and less precipitation amount in Lodhran district in the last few years. In 2017, building areas increased (4.3%) as compared to 1977. NDVI values for Lodhran district were highest in 1977 (up to + 0.86) and lowest in 1997 (up to - 0.33). Overall accuracy for classification was 86% for 1977, 85% for 1987, 86% for 1997, 88% for 2007, and 95% for 2017. LULC change with soil types, temperature, and NDVI, NDBI, and slope classes was common in the study area, and the conversions of bare soil into vegetation area and built-up area were major changes in the past 40 years in Lodhran district. Lodhran district faces rising temperatures, less irrigation water, and low rainfall. Farmers are aware of these climatic changes and are adapting strategies to cope with the effects but require support from government.
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