Remote sensing applied to land resource research has received increasing interest because of the excellent agreement of the temporal and spatial characteristics of remote sensing data and land resources. In the past decades

the development of remote sensing technology has greatly enriched the method and content of geography research. As one of most important directions of geography research

the research on land resources and the environment is carried out using remote sensing techniques. Remote sensing provides voluminous amounts of information and improves the depth of land resource research. With the support of the periodic acquisition of information via remote sensing

data information in land resource research is subjected to dynamic monitoring and updating. Extensive dynamic land resource information

such as quantity

distribution

composition

and type conversion

can be extracted from remote sensing data. Modern process analysis and change prediction for land resources have gradually become research hotpots because of the results of the monitoring of land resource changes. The research directions in relation to the remote sensing of land resources should focus on the following vectors in the future. First

research methods should be innovated to match the application requirements in China. Many research studies in China still focus on tracking

citing

consummating

and verifying the content and method of foreign models. Models suitable for the Chinese environment should be developed in the future. Second

remote sensing applications should be combined effectively with traditional disciplines. Maintaining consistency with traditional research in terms of concepts and connotations

clarifying the relationship of remote sensing parameters and their geoscience implications

and realizing the organic combination of land resource information and remote sensing parameters can improve the applicability and interpretability of research results. Third

the development of remote sensing applications for land resources should meet the requirements of global change research and consider large spatial regions

long time processes

and multiple observation angles. Given the different geographical elements of different regions

the consistency of temporal and spatial cognition should be emphasized against the background of global change research. Finally

applications should promote comprehensive analysis and evaluation to embody the relationship between human beings and land resources. The influence of this relationship on the sustainability and quality of the development process should also be studied.