Applications remote sensing monitoring land urban change at Vinh City, Nghe An Province. This reaseach has been conducted at Vinh City, Nghe An Province by Nguyen Ngoc Phi ( 2009). This study used to classification closets method to divide five class category and perform combination of remote sensing image types as Landsat (1992, 2000) and SPOT (2005) order to give results interpretation and the simultaneous comparison of accuracy to detail between photos. Applications of remote sensing data in monitoring changes in urban land has shown very clearly the changing in current use of urban land at Vinh city in the periods 1992-2000, 2000-2005 and 1992-2005. (Phi, N.N.et al., 2009).
Assessing Land Use and Land Cover Change: A Case of Tien Yen District, Quang Ninh Province from 2000 to 2010. The study was conducted to assess land use
25 and land cover change in Tien Yen district in the 2000 - 2010 period by author Nguyen Thi Thu Hien, (2013) . Project has method to use SPOT images which were acquired in years 2000, 2005 and 2010 and ArcGIS (version 10.0) software to produce land use and land cover map and land use/land cover change map, with purpose to assess the land use change of the study area. The object oriented approach which was applied in this research included two main steps: firstly, SPOT image was fragmented to vary objects by eCognition software, and, secondly, the segmentation images were classified by Maximum Likelihood approach using training dataset. The samples consisting of nine land use types were collected by handheld GPS device. ( Hien, N.T.T. et al.,2013)
Using Satellite Data for Mapping Land Cover Factor (C) in Soil Erosion Research in Tam Nong District Phu Tho Province by Tran Quoc Vinh. This research has been conducted in Tam Nong district, Phu Tho province in 2009. Universal Soil Loss Equation (USLE) is used for identifying land cover factor (C). The C factor is derived from satellite images of Spot 5 by using two different methods. The first one is conducted by combining an interpolation of land cover factor and the result of C factor from other researches. The second one is based on Normalized Difference Vegetation Index (NDVI). The paper showed the advantages and disadvantage of each method and suggests that method selection should depend on both specific characteristics of research area and the study objectives. (Vinh, T.Q. et al.,2009).
Study land cover change in Vietnam in period 2001-2003 using MODIS 32 days composite by Nguyen Dinh Duong .This study has been conducted at Viet Nam in 2006. In this research, the author presents result on land cover mapping of Vietnam
26 based on MODIS 500m 32-day global composite developed by the University of Maryland. Land cover classification was carried out by the GASC algorithm which was developed by the author for multitemporal remote sensing data analysis.
Classification scheme is kept following IGBP standards. As result, a land cover map of Vietnam for the year 2001, 2002 and 2003 were established. The classification result was validated using ground GPS photo database. The paper has pointed out usefulness of usage of high temporal and medium spatial resolution remote sensing data for natural resource inventory and environment monitoring in country-wide, regional and global scale. The time seriers of land cover of Vietnam for the years 2001, 2002 and 2003 was used for change analysis. Though it is relatively short time data series some trend of land cover change reflecting both positive and negative impact of development to the environment have been addressed in the paper.( Duong, N. D. et al.,2006)
Researching : Monitoring of forest cover change in Tanh Linh district, Binh Thuan province, Vietnam by multi-temporal Landsat TM data by authors Nguyen Dinh Duong, Kim Thoa và Nguyen Thanh Hoan (2005). Forest cover is an important indicator for environmental assessment of a territory. Land cover maps that also shows forest cover can be established by different methods, with different levels of accuracy.
In this paper the authors report on the application of the normalized vegetation index (NDVI) and the total reflected radiance index (TRRI) for land cover mapping with an emphasis on forest cover in the area of Tanh Linh District, Binh Thuan province, Vietnam. Recently drastic clear cutting of natural forest has occurred in this area for different purposes: logging, agricultural cultivation etc. The research has been
27 performed based on multi-temporal LANDSAT TM data (1989, 1992, 1996 and 1998) and topographical maps compiled in 1965. Change analysis has been executed based on digital interpretation results. The authors further report on a land cover classification algorithm with NDVI and TRRI indices, which enables the removal of some inaccuracies of vegetation classification by the NDVI method in the case of high resolution data.( Duong, N.D., Thoa, K.& Hoan, N.T. et al.,2005).
28