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The cost of land use planning is usually high, generally because of poor investment and the lack of anticipation of technology. Land use planning theory has largely been shaped by case studies of cities in the Global North. Countries all over the world, particularly in the Global South, are seeing population booms and rapid urbanization.
Land use and land management practices have a major impact on natural resources including water, soil, nutrients, plants and animals. [6] [7] Land use change is "the change from one land-use category to another".
Land use, land-use change, and forestry (LULUCF), also referred to as Forestry and other land use (FOLU) or Agriculture, Forestry and Other Land Use (AFOLU), [3] [4]: 65 is defined as a "greenhouse gas inventory sector that covers emissions and removals of greenhouse gases resulting from direct human-induced land use such as settlements and ...
Land management is the process of managing the use and development of land resources. One aim of sustainable land management is to prevent or reverse land degradation . Another aim is to ensure water security by increasing soil moisture availability, decreasing surface runoff , and decreasing soil erosion . [ 1 ]
India's arable land area of 1,597,000 km 2 (394.6 million acres) is the second largest in the world, after the United States. Its gross irrigated crop area of 826,000 km 2 (215.6 million acres) is the largest in the world, followed by US and China. [ 71 ]
Regions require various land uses; protection of farmland, cities, industrial space, transportation hubs and infrastructure, military bases, and wilderness. Regional planning is the science of efficient placement of infrastructure and zoning for the sustainable growth of a region.
Desertification: Human-led changes in land management practices lead to changes in the ecological characteristics of a region. Land mismanagement and climate change can lead to a loss of ecosystem services, such as through degradation of soil. [15] Together, these losses can result in desertification seen in arid and dry areas.
India and the United States cooperated in 2001, using Landsat MSS with a spatial resolution of 80 meters, to get accurate forest distribution data. India thereafter switched to digital images and advanced satellites with 23 meters resolution and software processing of images to get more refined data on forest quantity and forest quality.