Research article · 2023 · Full text
International Journal of Geography Geology and EnvironmentLand use land cover change detection in Jalgaon district, Maharashtra: A geographical study (2005-2015)
Volume 5(1) · Pages 44–53 · DOI: 10.22271/27067483.2023.v5.i1a.140 ↗
Research areasRemote Sensing in AgricultureLand Use and Ecosystem Services
Abstract
Author-writtenOne of a nation's most valuable natural resources is its land. Both land use and land cover refer to human activities, such as built-up (Residential, Commercial, Agricultural land, and Recreation areas) land. In contrast, natural vegetation, water bodies, and hilly areas comprise the land cover. Jalgaon district as the study region used data and the map extracted from the Bhuvan website. Available data is divided as per requirements such as LULC class as well as Rural and Urban Categories. With the aid of computer programs, including MS Excel, the analytical approach was applied for the current study to generate several graphical presentations. Including the mapping methods used in cartography data analysis data on land use and land cover of the Jalgaon district reveals a sharp rise in the amount of developed land and a sharp decline in the amount of agricultural and vegetative cover inside the study region limits.
Summary
Source-checkedPlain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.
Why it matters
- Land is considered one of the most valuable natural resources for any nation. View evidence ↗
- Changes in land use and cover impact major global environmental issues, including biodiversity loss, climate change, and various forms of pollution. View evidence ↗
- Rapid changes in land use and land cover (LULC) are often linked to urban growth. View evidence ↗
The question
- The study aims to detect LULC changes and analyze how urbanization impacted land resources in the Jalgaon district between 2005 and 2015. View evidence ↗
What they did
- The research relied entirely on secondary data collected from various sources. View evidence ↗
- Population data was sourced from Census Handbooks (1981, 2001, 2011), while LULC statistics and maps were obtained from the Bhuvan portal. View evidence ↗
What they found
- The total built-up area in the Jalgaon district increased by 127.71 sq. km. due to population growth. View evidence ↗
- Built-up stone mining areas around towns and cities increased by 3.08 sq. km., representing a 346.07% increase. View evidence ↗
- Total agricultural cropland and plantation area decreased by 711.01 sq. km., with 108.70 sq. km. (16.31%) lost in urban areas and 602.31 sq. km. (7.95%) lost in rural areas. View evidence ↗
- Forest land was destroyed during the study period, with losses of 6.62 sq. km. (0.51%) in urban areas and 5.02 sq. km. (0.99%) in rural areas. View evidence ↗
- Agricultural fallow land in rural areas increased by 530.35 sq. km. (86.10%) during the study period. View evidence ↗
- Water bodies increased in both sectors, with a 71.37 sq. km. (67.54%) increase in urban areas and a 5.57 sq. km. (2.23%) increase in rural wetlands. View evidence ↗
What it means
- The authors conclude that urban sprawl has led to the large-scale degradation of forest and agricultural land. View evidence ↗
- The authors recommend the implementation of systematic land-use planning and well-designed long-term policy programs. View evidence ↗
Visual summary
1 visualsIllustrations explain the paper; they do not show study data.
Urbanization Impact Flow
AI-generated conceptual illustration (Satellite landscape view of Jalgaon district, Maharashtra). It explains the idea and does not show study data.
View source evidence ↗Figures & tables
From the original paperIntroduction
Stamp first introduced the concept of land use in 1962. All of the country's legitimate and necessary needs should be met by the land (Stamp, 1930) [17] . According to Nanavati, land usage and conservation are related (1951). To use land resource that is accessible requires strong scientific, rational, and economic preparedness. On the other hand, we also need to maintain the ecological and socioeconomic balance (Mohammad, 1980) [18] . For human development, land use and land cover are essential (Doke, 2017) [3] One of each nation's most valuable natural resources is its land. A common phrase is the human modification of the Earth's surface is "land use/land cover change." A significant portion of supervision of natural resources is also used to actualize the outcome of the man-maid action in the surrounding environment. Change detection is the practice of spotting alterations in an object or phenomenon's state through repeated observation. The ability to measure temporal impacts utilizing multitemporal data sets is essentially involved. Change detection is one of the primary uses for remotely sensed data from Earth-orbiting satellites due to the repeating coverage at frequent intervals and consistent image quality (Anderson, 1976) [19] . The rapid changes in Land Use and Land Cover (LULC) that are linked to the city's growth may be mostly due to the growth. Over the past few decades, the Earth's terrestrial surfaces have seen significant changes as a result of the global trend of economic expansion and population growth. When a big number of people were residing in cities in the 19th and 20th centuries urbanized societies were developed. The ratio of villagers moving to cities depends on the area's desire for a higher quality of life and new employment opportunities (Davis, 1955) [20] . Urbanization is closely linked to modernization, industrialization, and the sociological process of rationalization. Though people have been altering the land for thousands of years to obtain food and other necessities, the current rates, extents, and intensities of land use/land cover change are much greater than at any other time in human history, leading to unprecedented changes in ecosystems and environmental processes at local, regional, and global scales. The biggest environmental issues facing the human population today, such as climate change, biodiversity loss, and water, soil, and air pollution, are all impacted by land use and cover changes. Researchers and policymakers worldwide now place a high premium on monitoring and mitigating the negative effects of land use and land cover change while maintaining the production of key resources (Erle and Pontius, 2007) [21] .
In Present study elaborates on LULC change detection and analyses the impact of urbanization on land resources and its use changes in the Jalgaon district from 2005 to 2015. The present article has shown changes in urban-rural residentialindustrial (Built-up) areas, agriculture, forest, etc. Hence, land use and land cover change have become an important component for research because the demand for land resources increasing continuously within the proportion of the population at the local to global level. So that in current strategies for managing natural land resources and monitoring environmental changes for sustainable environmental planning and management LULC change detection study become the need of time for sustainable human being survival.
Objectives
The proposed research study has the following objectives-1. Discuss the relationship between the population and Urban sprawl in the study region. 2. To assess land use land cover changes from 2005 to 2015 in Jalgaon District. 3. To examine comparatively the Land use Land cover changes of the rural and urban areas in Jalgaon District.
Methodology
The proposed research work is fully dependent on secondary data. Data was collected from various secondary sources as per requirement. Population data was collected from the Census Handbook of the year 1981, 2001, and 2011. Data related to urban land use and land cover are collected from the Bhuvan portal in form of statistics and maps. Google Earth and Bhuvan software's also used for the actual and current status of the urban land use Land cover of Jalgaon District.
The analytical method was used for the present study with the help of computer applications i.e. MS Excel was used for the tabulation and prepared various graphical presentations. As well as the cartographic techniques use for mapping. Percentile, and mean were used to analyze and interpret the concerned data related to the land use land cover area of the study region.
Description of Study area
The Khandesh region's significant district of Jalgaon is located in northwestern Maharashtra. Jalgaon District is part of the Nashik division. The growing of bananas is wellrecognized in the area. Its entire area is 117670. . No.2 shows that the above-discussed towns have the same ranking in the percentage of population growth out of the total population growth from 1981 to 2011 of towns and cities in the Jalgaon district. So growing population in the study regions migrated from rural and urban areas creates pressure on existing land for the fulfillment of their requirements like housing, commercial, industrial, and recreation, etc. That is why the geographical areas of each town extended in course of time resulting in unplanned urbanization as well as urban sprawl. Also, the issue results in the degradation of wildlife habitat and the fragmentation of remaining natural regions by increasing the physical and environmental "footprints" of town areas. Jalgaon, Bhusawal, and Chalisgaon have faced various problems are stated above in present as well as in the future these problems becoming serious for human beings. So we need sustainable development planning for these towns in the study regions. With help of table no. 5 researchers have analyzed that there were noticeable LULC changes have been taken in the study region during 2005-06 to 2015-16. Total LULC changes take place in 5.94 sq. km. area in urban as well as in -5.93 sq. km. area in rural areas in the study region. In Jalgaon district, there are detected LULC changes in each class in the rural area as well as the urban area. The total built-up area increased by 127.71 sq. km., Because of population growth during study periods in the Jalgaon district. At the same time, the 3.08 (346.07%) sq. km. built-up stone mining area also increased around the towns and cities. The growing population needs more construction materials, increasing such demands which promoted built-up stone mining. Out of this total built-up area increased in urban areas by 43 barren and unculturable land also converted into built-up lands. In rural areas, in the case of wasteland negative change has taken place on 19.01 sq. km. (4.74%) which shows that wastelands are also utilized for other purposes. The most positive scenario has been seen in the case of water bodies in the Jalgaon district. There were water bodies increased by 71.37 sq. km. (67.54%) in urban areas and in rural areas wetlands increased by 5.57 sq. km. (2.23%).
Conclusion
With the help of all the above discussion, here researcher concluded that on a large scale agricultural and forest land degraded due to urban sprawl. It means maximum LULC change has taken place in an agricultural area out of the total LULC change area in the Jalgaon district. It means agricultural and forest land transformed into built-up and fallow land in the study region. Green land cover is transmitted into the concrete land which has dangerous for every organism on the earth's surface. Such type of scenario in the study region as well as overall creates numerous problems in the path of the sustainable development of the human being. Increasing water bodies in the study region is a positive sign for everyone. So full proof planning, as well as implementation, will have strongly necessary for a better future of the study region, which of responsibility of the administration, urban planner, society, and citizens.
Recommendation
In India, urbanization has rapid growth. Due to rapid urbanization, arising red alarming issues related to agricultural land use. Hence recommend here doing systematic planning for land use. Need well design policy planning programs on such issues for the long term.
Acknowledgement
We thank the Bhuvan team for providing data related to LULC from their website. We also acknowledge towards those their references are helpful for the present study.
Figures and tables from the paper
| Sr. No | Town/City | Population 1981 to 2011 | — | — | Population Growth |
|---|---|---|---|---|---|
| 1931 | 2001 | 2011 | 1981-2011 | ||
| 1 | Amalner | 67,516 | 91,490 | 95,994 | 28,478 |
| 2 | Bhadgaon | 16099 | 16443 | 37,214 | 21,115 |
| 3 | Bhusawal | 1,32,142 | 1,87,564 | 211575 | 79,433 |
| 4 | Bodvad | 13274 | 19513 | 24221 | 10,947 |
| 5 | Chalisgaon | 59,342 | 91,110 | 1,08,181 | 48,839 |
| 6 | Chopda | 40,931 | 60,865 | 72,783 | 31,852 |
| 7 | Dharangaon | 28,736 | 33,625 | 35,375 | 6,639 |
| 8 | Erandol | 22,797 | 30120 | 31,071 | 8,274 |
| 9 | Faizpur | 17,629 | 23,694 | 26,602 | 8,973 |
| 10 | Jalgaon | 1,45,335 | 3,68,618 | 4,60,228 | 3,14,893 |
| 11 | Jamner | 19932 | 36386 | 46,762 | 26,830 |
| 12 | Muktainagar | 10144 | 18408 | 23970 | 13,826 |
| 13 | Pachora | 31,564 | 45,333 | 59,817 | 28,253 |
| 14 | Parola | 24,328 | 34,799 | 37,666 | 13,338 |
| 15 | Raver | 20,346 | 25,993 | 27,039 | 6,693 |
| 16 | Savda | 15,989 | 19,332 | 20,584 | 4,595 |
| 17 | Varangaon | 26,553 | 35279 | 35,411 | 8,858 |
| 18 | Yawal | 25,049 | 31,803 | 36,706 | 11,657 |
Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.
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| Percentage (%) of Population growth out of the total population growth of towns and cities in Jalgaon District from 1931 to 2011 | — | — | — | — | — |
|---|---|---|---|---|---|
| Town/City | Population Growth % | Town/city | Population Growth % | Town/City | Population Growth% |
| Amalner | 4.23 | Chopda | 4.73 | Jamner | 3.98 |
| Bhadgaon | 3.14 | Dharangaon | 0.99 | Bodvad | 1.63 |
| Bhusawal | 11.79 | Erandol | 1.23 | Savda | 0.68 |
| Muktainagar | 2.05 | Faizpur | 1.33 | Parola | 1.98 |
| Chalisgaon | 7.25 | Jalgaon | 46.36 | Raver | 0.99 |
| Varangaon | L32 | Pachora | 4.19 | Yawal | 1.33 |
Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.
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| LULC: information for Jalgaon District for 2005-06 | — | — | — |
|---|---|---|---|
| Urban | Rural | ||
| LEL C Class | Arm (M. Tim.) | LULC Class | Area (Sq.K.m.) |
| Built-Up. | 82.33 | Built-up. | 91.96 |
| Built-Up, Mining | 0.89 | Agriculture, Cropland | 7577.82 |
| Agriculture, Plantation | 666.48 | Agriculture, Fallow | 615.96 |
| Forest. Deciduous | 1233.95 | Forest. Saul) Forest Barrcn/unculturable/ Wastelands, Sent land | 505.33 |
| 400.72 | |||
| Barren/uneulturable/ Wastelands, Gullied/Ravinous Land | 143.79 | Wed ands/Wales Bodes. River/Stream/canals | 250.25 |
| Barren/unculturable! Wastelands Barren rocky Wetlands/Water _ bodies. Reservoir/Lakes/Ponds | 29.74 | ||
| 105.67 | |||
| Total Urban Area - | 2322.9 | Total Rural Area- | 9442.09 |
| Total Geographical Area of Jalgaon District (Urban A-Rural) =11765 Area Sq. Km. |
Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.
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| LULC Information for Jalgaon District for 20015-16 | — | — | — |
|---|---|---|---|
| Urban | Rural | ||
| LULC Class | Area (Sq. Km.) | LULC Class | Area (Sq. Km.) |
| Built-up, | 125.6 | Built-up, | 176.45 |
| Built-up, Mining | 3.97 | Agriculture, Cropland | 6975.51 |
| Agriculture, Plantation | 557.78 | Agriculture, Fallow | 1146.31 |
| Forest, Deciduous | 1282.33 | Forest, Scrub Forest | 500.36 |
| Barren/unculturable/ Wastelands, Gullied/Ravinous Land | 154.25 | Barren/unculturable/ Wastelands, Scrubland | 381.71 |
| Wetlands/Water Bodies, River/Stream/canals | 255.82 | ||
| Barren/unculturable/ Wastelands, Barren rocky Wetlands/Water Bodes: Reservoir Lakes Ponds | 27.87 | ||
| 177.04 | |||
| Total Urban Area - | 2328.84 | Total Rural Area- | I 9436.16 |
| Total Geographical Area of Jalgaon District (Urban +Rural) = 11765 Area |
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| LULC Change of Jalgaon district During 2005-06 to 2015-16 | — | — | — | — |
|---|---|---|---|---|
| Urban | ||||
| LULC Class | Area (sq. Km) Change area | Percentage out of total LULC | ||
| 2005-06 | 2015-16 | LULC Change | LULC Change% | |
| Built-up, | 82.38 | 125.6 | 43.22 | 52.46 |
| Built-up, Mining | 0.89 | 3.97 | 3.08 | 346.07 |
| Agriculture, Plantation | 666.48 | 557.78 | -108.7 | -16.31 |
| Forest, Deciduous | 1288.95 | 1232.33 | -6.62 | -0.51 |
| Barren/unculturable Wastelands. Gullied/Ravenous Land | 148.79 | 154.25 | - 05.46 | -3.67 |
| Barren/unculturable Wastelands, Barren rocky | 29.74 | 27.37 | -1.37 | -6.29 |
| Wetlands/Water Bod es, Reservoir/Lakes/Ponds | 105.67 | 177.04 | 71.37 | 67.54 |
| Total Urban Area = | 2322.9 | 2323.34 | 5.94 | 0.26 |
| Rural | ||||
| LULC Class | Area (sq. Km) | Percentage out of total LULC change area | ||
| 2005-06 | 2015-16 | LULC Change | LULC Change % | |
| Built-up, | 91.96 | 176.45 | 84.49 | 91.33 |
| Agriculture, Cropland | 7577.82 | 6975.51 | -602.31 | -7.95 |
| Agriculture, Fall ow | 615.96 | 1146.31 | 530.35 | 36.10 |
| Forest, Scrub Forest | 505.38 | 500.36 | -05.02 | - 0.99 |
| Barren unculturable, Wastelands. Scrub land | 400.72 | 381.71 | -19.01 | -4.74 |
| Wetlands/Water Bodes, River/Stream/canals | 250.25 | 255.82 | 05.57 | 2.23 |
| Total Rural Area = | 9442.09 | 9436.16 | -5.93 | -0.06 |
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References
13 in the original paper- Vinayak B, Lee HS, Gedem S. Prediction of Land Use and Land Cover Changes in Mumbai City, India, Using Remote Sensing Data and a Multilayer Perceptron Neural Network-Based Markov Chain Model, Sustainable Urban, and Rural Development A section of Sustainability; 2021 Jan 6;13(2):01-22. https://doi.org/10.3390/su13020471 https://www.mdpi.com/2071-1050/13/2/471
- Doke AB. Land Use/Cover Mapping of Konkan Region, Maharashtra IJCRR Section. International Journal of Current Research and Review. 2017;9(10):01-06. DOI: http://dx.doi.org/10.7324/IJCRR.2017.9101 https://ijcrr.com/uploads/1169_pdf.pdf
- Patil S, Jamgade M. Monitoring Land Use/Cover Change in Navi Mumbai, Maharashtra, India Using Remote Sensing and Satellite Data. Journal of Emerging Technologies and Innovative Research. 2019;6(1):726-736. www.jetir.org https://www.academia.edu/38264614/Monitoring_Land _Use_Cover_Change_in_Navi Mumbai_Maharashtra_India_Using_Remote_Sensing_ and_Satellite_Data
- Balu L, Rathod 1, Jagdish Sapkale B. Application of Remote Sensing Techniques for Change Detection in Land Use/Land Cover of Ratnagiri District, Maharashtra, IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG) 2015;3(6):55-60. www.iosrjournals.org, https://www.iosrjournals.org/iosr-jagg/papers/vol3issue6/Version-2/G03625560.pdf https://www.academia.edu/27968627/Analysis_of_Lan d_Use_and_Land_Cover_on_using_Remote_Sensing_a nd_GIS_techniques_A_Case_Study_of_Nashik_City_ Maharashtra
- Kaul HA, Sopan I. Land Use Land Cover Classification and Change Detection Using High-Resolution Temporal Satellite Data. The Journal of Environment. 2012;1(4):146-152. https://www.researchgate.net/publication/235428308_L and_Use_Land_Cover_Classification_and_Change_Det ection_Using_High_Resolution_Temporal_Satellite_Da ta
- Butt A, et al. Dynamics of land use and land cover change (LULCC) using geospatial techniques: A case study of Islamabad Pakistan. Springer Plus. 2016;5:0211.
- Matlhodi B, Kenabatho PK, Parida BP, Maphanyane JG. Evaluating land use and land cover change in the Gaborone dam catchment, Botswana, from 1984-2015 using GIS and remote sensing. Sustainability. 2019;11(19):01-21.
- Cihlar J. Land cover mapping of large areas from satellites: Status and research priorities. International Journal of Remote Sensing. 2000;21(6-7):1093-1114.
- Vitousek PM, Mooney HA, Lubchenco J, Melillo JM. Human domination of Earth's ecosystems. Science. 1997;277(5325):494-499.
- Shi G, Jiang N, Yao L. Land use and cover change during the rapid economic growth period from 1990 to 2010: A case study of Shanghai. Sustainability. 2018;10(2):426.
- Stamp LD. Burma: An undeveloped monsoon country. Geographical Review. 1930;20(1):86-109.
- Mohammad SN. Fermi energy and Fermi-Dirac integrals for zincblende-symmetry narrow-gap semiconductors with spherical energy bands. Journal of Physics C: Solid State Physics. 1980;13(14):2685-2690.
- Davis K. The origin and growth of urbanization in the world. American Journal of Sociology. 1955;60(5):42937.
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