Jicai Ning

Remote sensing monitoring of green tide in the Yellow Sea in 2015 based on GF-1 WFV data

In this paper, the green tide (Large green algae-Ulva prolifera) in the Yellow Sea in 2015 is monitored which is based on remote sensing and geographic information system technology, using GF-1 WFV data, combined with the virtual baseline floating algae height index (VB-FAH) and manual assisted interpretation method. The results show that GF-1 data with high spatial resolution can accurately monitoring the Yellow Sea Ulva prolifera disaster, the Ulva prolifera was first discovered in the eastern waters of Yancheng in May 12th, afterwards drifted from the south to the north and affected the neighboring waters of Shandong Peninsula. In early July, the Ulva prolifera began to enter into a recession, the coverage area began to decrease, by the end of August 6th, the Ulva prolifera all died.

Error Analysis on Green Tide Monitoring Using MODIS Data in the Yellow Sea based on GF-1 WFV Data

In recent years, MODIS data were widely used in dynamic monitoring of Green Tide. However, the images may contain lots of mixed pixels because of coarse resolution ,which will cause the error of the monitor result1,2. In this paper, the monitoring error was quantitatively analyzed with the help of GF-1 WFV data, which has a high resolution of 16 merers and the monitoring result of which were considered to be accurate. The conclusions are as follows: there are errors in both dense and sparse Enteromorpha monitoring using MODIS data, and the error in sparse Enteromorpha is larger. Most of the error is concentrated on the edge of the floating Enteromorpha patch. MODIS has a good ability in observing the location of Enteromorpha , and it can play an important role in the dynamic monitoring of multi source data.

Dynamic analysis on coastline and sea reclamation in the region around Bohai based on remote sensing images

With 2 periods of standard false-color images as data sources, using remote sensing and GIS technology, dynamic change information extraction of the coastline and sea reclamation was completed in the region around Bohai through visual interpretation and artificial vectorization, and then this kind of information was studied deeply. The conclusions are as follows: 1) From 2000 to 2010, coastline of the region around Bohai shows an increasing trend, advancing to the sea rapidly; coastline change of the Beijing-Tianjin-Tangshan area is maximum; the advancing of coastlines of Liaoning and Shandong Province to the sea is obvious; human factors are key factors for the above change . 2) From 2000 to 2010, the sea reclamation area of the region around Bohai is rapidly increasing, the increase of Beijing-Tianjin-Tangshan region is the largest relatively and that of Shandong Province is the smallest; from the structure point of view, the area of sea reclamation for building ports is the largest and that of tideland reclamation is the smallest; different regions have different structures; social and natural factors together determine the evolution of sea reclamation. 3) To some extent, sea reclamation contributes to the increase in length of the coastline; different use types of sea reclamation have different influences on the coastline changes.

Study on spatio-temporal vegetation cover changes based on MODIS NDVI data in the Mongolian Plateau, 2000-2012

Fractional Vegetation Cover (FVC) is one of the most important variables in monitoring the changes of terrestrial ecosystems. Based on the Two-endmember model, FVC from 2000 to 2012 in Xinjiang was derived from MODIS Normalized Difference Vegetation Index (MODIS NDVI)) (16-Day). The spatio-temporal vegetation changes were analyzed, and the results showed that: Vegetation cover in Inner-Mongolia was higher than that in Mongolia. In the year of 2000, the FVC in Inner-Mongolia is 0.557, and 0.516 in Mongolia; while in the year of 2012, the FVC in Inner-Mongolia is 0.663, and 0.593 in Mongolia.

Study on coastline change in Shandong Province based on geo-information TuPu

With 4 periods of remote sensing images as data sources, based on Geo-information TuPu analysis method, coastline change information mapping of Shandong province during the past 30 years is established using ArcGIS software, and then this kind of information was studied deeply. The conclusions are as follows: 1) During the past 30 years, coastline of Shandong province shows an increasing trend; the centre of increasing shifts eastward gradually; different areas have different increasing situations. 2) During the past 30 years, coastline change degree of Shandong province is basically stable, change fiercely areas concentrate on the Yellow River estuary while Zhaoyuan, Penglai and Longkou have a rather slow degree. 3) From 1980 to 1990, coastline of Shandong province retreats to land quickly, draws back slowly from 1990 to 2000 while advances to sea rapidly entering into 21st century; Dongying has a backward trace for 30 years, Zhaoyuan and Laiyang have been basically unchanged, Yantai, Rizhao and Jiaonan have a obvious trend of advancing to sea.

Retrieval of water and heat flux based on fusion of LANDSAT TM/ETM+ and MODIS data

The Moderate Resolution Imaging Spectroradiometer (MODIS) data has a high temporal resolution, which, at present, is an ideal data source in simulative monitoring of regional-scale changes in surface energy and water. However, the spatial resolution of its thermal infrared band is relatively low (1 km). The Landsat TM/ETM+ data have a high spatial resolution, but their single thermal infrared bands can lead to the fact that the inversion accuracy for the surface temperature is not high, and that the time resolution is low. This limits its application in the surface evapotranspiration (ET) monitoring. Combining TM/ETM + visible wave band with MODIS thermal infrared wave band, this paper discusses a multi-scale remote sensing method to estimate regional surface ET. On the basis of space enhancement method, the vegetation index estimated by TM/ETM + enhances the surface temperature scale with the inversion of MODIS to a 30 m resolution, which aims to improve the estimation accuracy of ET in the non-uniform surface mixed-pixel. The results show that this method has a higher accuracy of ET estimation compared with the method of only using MODIS or ETM+ data. Moreover, it can obtain a more obvious effect on scale correction in the uneven land surface or various surface covering types, and the corrected ET is close to the observation result.

Dynamic analysis on coastline and sea reclamation in the efficient ecological economic zone of the Yellow River Delta based on 30-years of satellite data

In this paper, with four remote sensing images from the 1980 to 2010 periods and the coastal survey data as data sources, then integrated use remote sensing and GIS technology, the Efficient Ecological Economic Zone of the Yellow River Deltas coastline and sea reclamation changes were extracted by the means of visual interpretation and the artificial vector method. The conclusions are as follows: The coastline of this study area showed a rising trend during 1980 to 2010, the silty coastline showed a reduction trend while the artificial coastline showed an increasing trend, natural and social factors together determined the evolution of coastline. The reclamation area was the largest during 1980 to 1990 and the area was the smallest during 1990 to 2000, demographic factors and economic factors are the most prominent driving reasons of the reclamation. This paper can provide data support and services for the study area to implement management and sustainable development more efficiently.

A study on China’s LUCC and carbon-sink response with remote sensing

Based on SPOT VEGETATION NDVI time-series data, multi-phase China’s land use / land cover (LULC) data were extracted in this study, where land use degree method and land dynamic degree method were used to analyze the spatial and temporal change characteristics of China’s LULC in the latest decade. Moreover, bookkeeping model was applied to analyze the response of Chinas carbon sink to LUCC. Research conclusions were achieved as follows. Chinas annual vegetation carbon sink was 0.22- 0.32PgC/year, equivalent to 26% -28% of Chinas industrial CO2 emissions over the same period. Dynamic changes in woodland and grassland led to carbon sink changed in 11.4-15.7TgC, and the increased carbon sink due to LUCC offset 1.3-1.4% of China’s industrial CO2 emissions.

Analysis on the balance between supply and demand of crop land in Yantai city of China in 2020

With the fast development of economy and urbanization, the phenomenon of city construction occupying Cropland often happens. As the contradiction between human and land becomes more prominent, the contradiction between the supply and demand of the cropland are more radical in Yantai City of China. Analysis on the balance between supply and demand of cropland is the main basis to determine land use objectives, and also the basis of editing land use planning. In this paper, the authors firstly calculated the potential of cropland supply in Yantai for 2020 according to its current number of the cropland and the potential quantity of other kinds of land changing to the cropland, and then calculated the demand for cropland in 2020 with the methods of the population prediction and its national economic development planning. Then the balance between the supply and demand of cropland was analyzed. The results were that the cropland in Yantai city in 2020 were lower than those of its demand. At last, to relieve the contradiction, the authors tried to put forward some recommendations like optimizing the structure to coordinate the balance between the supply and demand of the cropland etc. to realize its regional sustainable development.

The responses of vegetation water content (EWT) along a coastal region using remote sensing

This paper retrieved the vegetation water content EWT (equivalent water thickness) information and the relevant parameters for the land surface from full-band TM remote sensing data. The effects of surface water heat flux and surface covering on the EWT were analyzed via studies of the regional land cover status and the combined EWT with land surface parameters. This paper also analyzed the roles and limitations of EWT in drought monitoring combined with classification of the regional drought and regional water stress index (RWSI).