in China has expanded exponentially, and has occupied
more croplands. Together with the expansion of rural
built-up areas, urban expansions would have an increasing
impact on China’s food security. This has attracted attention
by people from many sectors of the society [46]. However,
how much exactly is the impact of urbanization on agriculture,
climate and the environment? It has not been well answered
in the past. The mapping product on built-up areas
of cities provides a base for answering that question. The
dataset has been done by the same group, with the same
method, using the same type of data, and checked and refined
each city by the same person. The precise delineation
of built-up areas cannot be found in published yearbooks.
This dataset is helpful to many fields, such as the study on
the trend of urbanization in China and the trend of land
conversion from croplands and other lands into urban areas,
the simulation of the dynamic development of cities, the
study on the relationship of urbanization, population growth
and migration, the analysis of carbon emissions and climate
change, and policy making regarding potential climate
change, land use planning and urban planning and administration.
In mapping urban areas, we shall improve the accuracy,
avoid or reduce errors from spectral uncertainties
between bare land or croplands and high density settlement
areas. We also need to further classify land use types within
in China has expanded exponentially, and has occupiedmore croplands. Together with the expansion of ruralbuilt-up areas, urban expansions would have an increasingimpact on China’s food security. This has attracted attentionby people from many sectors of the society [46]. However,how much exactly is the impact of urbanization on agriculture,climate and the environment? It has not been well answeredin the past. The mapping product on built-up areasof cities provides a base for answering that question. Thedataset has been done by the same group, with the samemethod, using the same type of data, and checked and refinedeach city by the same person. The precise delineationof built-up areas cannot be found in published yearbooks.This dataset is helpful to many fields, such as the study onthe trend of urbanization in China and the trend of landconversion from croplands and other lands into urban areas,the simulation of the dynamic development of cities, thestudy on the relationship of urbanization, population growthand migration, the analysis of carbon emissions and climatechange, and policy making regarding potential climatechange, land use planning and urban planning and administration.In mapping urban areas, we shall improve the accuracy,avoid or reduce errors from spectral uncertaintiesbetween bare land or croplands and high density settlementareas. We also need to further classify land use types within
การแปล กรุณารอสักครู่..
in China has expanded exponentially, and has occupied
more croplands. Together with the expansion of rural
built-up areas, urban expansions would have an increasing
impact on China’s food security. This has attracted attention
by people from many sectors of the society [46]. However,
how much exactly is the impact of urbanization on agriculture,
climate and the environment? It has not been well answered
in the past. The mapping product on built-up areas
of cities provides a base for answering that question. The
dataset has been done by the same group, with the same
method, using the same type of data, and checked and refined
each city by the same person. The precise delineation
of built-up areas cannot be found in published yearbooks.
This dataset is helpful to many fields, such as the study on
the trend of urbanization in China and the trend of land
conversion from croplands and other lands into urban areas,
the simulation of the dynamic development of cities, the
study on the relationship of urbanization, population growth
and migration, the analysis of carbon emissions and climate
change, and policy making regarding potential climate
change, land use planning and urban planning and administration.
In mapping urban areas, we shall improve the accuracy,
avoid or reduce errors from spectral uncertainties
between bare land or croplands and high density settlement
areas. We also need to further classify land use types within
การแปล กรุณารอสักครู่..