Abstract inner Mongolia Autonomous Region is the largest animal husbandry production base in China. It plays a very important role in China’s economy.


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NameAbstract inner Mongolia Autonomous Region is the largest animal husbandry production base in China. It plays a very important role in China’s economy.
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MODIS-Based Inner Mongolia Grassland Snow-Cover Mapping

Huishu Hou*a, Houyue Yang a, Xiumei Wangb

aCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot, China, 010051 bSchool of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, China, 010051

ABSTRACT

Inner Mongolia Autonomous Region is the largest animal husbandry production base in China. It plays a very important role in China’s economy. However, most of Inner Mongolia grassland is located at high latitude and high altitude regions where winter is long and weather is cold, snow disaster occurred almost every year, resulting in a large number of livestock deaths. The consequences of the snow disaster are serious. As a result, monitoring the snow cover evolution has a significant social and economical meaning for grassland snow disaster forecasting, snow disaster rescuing, as well as the reconstruction of post-disaster recovery. For its advantages of higher spectral resolution, higher temporal resolution, higher spatial resolution and free-receiving policy, optical remote sensing sensor—MODIS was widely applied to natural disaster dynamic monitoring areas, such as flood ,drought, forest fire, grassland fire and snow disaster ,etc. The application of MODIS to Inner Mongolia grassland snow cover monitoring and extracting snow information is still a blank research area in China. The MODIS L1B 500 meter resolution data were preprocessed by geometric correction and eliminating bow-tie effects methods, then according to normalized difference snow index algorithm and a comprehensive threshold criterion, the processed MODIS image was used to extract large-scale snow cover information and to produce snow-cover map of Inner Mongolia on late January 2008. At last, verifying the accuracy of the snow-cover map by official data issued by Inner Mongolia ecological and agro-meteorological center. The result shows that the snow-cover map was accurate so that the application of MODIS data to monitor large-scale snow cover is very effective.

Groundwater Appraisal and Environmental Management of the Uma River Basin, Akola District, Maharashtra

Syed Khadri*a, Ganapati Patilb, Rajan Zambrec aSGB Amravati University, Enkayyapura, Opp. Rahman Layout, Beside reliance Tower, Camp, Amravati, India 444602;

bThe Pennsylvania State University, Pennsylvania, PA United States 16802;

cErallo Technologies, Inc , MA United States, 01460

ABSTRACT

Detailed hydro-geological and hydro-geochemical investigations were conducted on the Uma River Basin, Akola district, Maharashtra. The aim of these investigations was to understand the hydro-geochemical, geological, geomorphologic, and environmental control of the groundwater regime of the region. The study area is characterized by the presence of an alluvial tract and underlined by a horizontal sequence of lava flows. The area was divided into simple and compound units based on their field characters, textual parameters, and geomorphic expression. Major element chemistry of groundwater samples from dug and bore wells at 125 selected sites on the Uma River basin were analyzed during pre-monsoon and post-monsoon periods to understand the groundwater quality and its impact on the environment. A number of thematic maps showing the distribution of various elements and their ratios, along with iso-contour maps of physico-chemical parameters, were utilized to understand the water quality management of the region. In this study an attempt has been made to demonstrate the application of GIS based groundwater modeling along with sensor networking techniques in identifying the hotspot geoinformatics for the sustainable water resources management.


The Application of Remote Sensing Technique to the Surveying of Active Faults of the Hangzhou Area

ZHANG Wei, YANG Jin-zhong*

China Aero Geophysical Survey & Remote Sensing Center for Land and Resources, Beijing, China, 100083

ABSTRACT

It is important to explore the active faults in urban areas and their surroundings for earthquake disaster mitigation. Satellite remote sensing techniques can play an important role in active faults exploration. It can not only express the panorama of active faults and active tectonics on a macroscopic view, but also can monitor the occurrence, development and rules of temporal-spatial evolution of active faults. In this paper, we take the Hangzhou area as an example to introduce the treatment of extracting concealed active faults information covered by thick Quaternary unconsolidated sediment in detail, using the methods of image enhancement and image fusion etc. to improve the definition and precision of satellite images and presenting a three-dimensional (3D) model to show tectono-geomorphic features along the relevant faults. At the same time, we collected aeromagnetic anomaly data, shallow seismic exploration data and dating data, and carried out field survey as much as possible to validate the active faults based on remote sensing images. The result revealed that the interpreted faults showed a high consistency with traditional geological acknowledge. So it is feasible to explore the active faults in a weakly active structural area by using satellite remote sensing techniques and to contribute large engineering project and the research of neotectonics.

The Application of Integrated GPS PPP/INS in Aerial Triangulation

Jianhong Fu

School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan, China, 430079

ABSTRACT

The POS-supported aerial photogrammetry requires nowadays one or more GPS base stations established in the surveying area to obtain synchronously the differential measurements with airborne GPS receiver. In the post processing, DGPS positioning and velocity determination with carrier phase and Doppler measurements are adopted firstly to obtain 3D coordinates and velocities. Then, the results of DGPS are integrated with IMU (Inertial Measurement Unit) data to obtain precise position and attitude angles. This operational model has high work cost and the project arrangement needs much delicate consideration . It is quite difficult sometimes to establish appropriate GPS base stations in some regions such as dense forests, desert and mountainous region. With the appearance of GPS Precise Point Positioning (PPP) technology, the integration of kinematic GPS PPP with INS and its application in the aerial triangulation were proposed here. In the paper, firstly, the algorithms of GPS PPP and its integration with INS were introduced. The Kalman filtering in the integration of PPP and INS was discussed in detail. Then, a great deal of actual aerial data were processed with the algorithms proposed in the paper and the test results were analyzed. In the test, the RMS of position residuals reached 0.2m and the RMS of velocity residuals reached 0.05m/s respectively. Compared to the integration of DGPS/INS, the integration of GPS PPP/INS showed systematic error. However, in the final aerial triangulation, the accuracy of the block bundle adjustment with the results from two models had no visible difference if 4 or more 3D GCPs were deployed in the four corners of the surveying area.

Detecting archaeological sites impacted by modern activity: a satellite imagery investigation at Barton Ramie, Belize

Errin T. Weller*

Department of Anthropology, University of Colorado-Boulder, UCB 233, Boulder, CO, 80309

ABSTRACT

High-resolution panchromatic Worldview-1 satellite imagery over the archaeological site of Barton Ramie, Belize Central America, successfully detected the remains of ancient Maya settlement. Surface archaeological settlement has been largely destroyed due to extensive agricultural activities. Maya remains and subsurface features resulted in four identifiable anomaly types in the satellite imagery that were confirmed through ground-truthing and site maps as settlement features. Geographic Information System analysis and ground-truthing determined that mound (archaeological remain) size is the primary factor enabling detection. The height of mounds correlated with the rate of successful detection with a threshold at 2m. The confirmation of features in a plowed environment has implications for other disturbed environments in Belize and beyond including settlement, survey, and population.

Keywords: Worldview-1 satellite, ancient Maya, Barton Ramie, agricultural disturbance, archaeology
Application of GIS-based Weights of Evidence Modeling to

metallogenic prediction

Changming Wang* a,b, Jun Denga, Shouting Zhang a , Qiuming Cheng a,b

aState Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing, China, 100083;

bDepartment of Earth and Space Science and Engineering, York University, 4700 Keele Street, Toronto, Canada, ON M3J1P3

ABSTRACT

On the basis of GIS technologies and weights of evidence modeling, MapGIS is integrated with GIS and mineral resource prediction and evaluation. The final product is a predictor map of posterior probabilities of occurrence of the discrete event within a small unit cell. A case study for demonstration purposes consists of application of the method to copper-polymetallic deposits in the middle-southern segment of the Da Hinggan Mountains, Inner Mongolia, China. Predictor layers were created on a digital database that includes 1:200,000 scale geological, and geochemical, and geophysical maps, and remote-sensing images in study area. According to metallogenic factors extraction and weights of evidence modeling, two metallogenic prospect areas were regarded as optimum selection according to prediction results. The results demonstrate plausibility of weights-of-evidence modeling of mineral potential in large areas with small number of mineral prospects.

Keywords: Weights of Evidence Model, GIS, Metallogenic prediction, Inner Mongolia


Airborne forest fire detection system based on graph signal processing

Lei Zhang*, Jianyu Wang

Shanghai Institute of Technical Physics, Chinese Academy of Sciences, 500,Yutian Rd, Shanghai, China, 200083

ABSTRACT

The proposed system integrates GPS/pseudolite/IMU and thermal camera in order to autonomously process the graphs by identification, extraction, tracking of forest fire or hot spots. The airborne detection platform, the graph-based algorithms and the signal processing frame are analyzed detailed; especially the rules of the decision function are expressed in terms of fuzzy logic, which is an appropriate method to express imprecise knowledge. The membership function and weights of the rules are fixed through a supervised learning process. The paper includes an experiment carried out in Meixi forestry Bureau of Heilongjiang Province (China), and the results show that working procedure of detection system is reasonable and can accurately output the detection alarm and the computation of infrared oscillations.
DESERTIFICATION RISK ASSESSMENT IN NORTHEASTERN NIGERIA USING REMOTE SENSING AND GIS TECHNIQUES

Gajere E.N, Taiwo Qudus*

National Centre for Remote Sensing, PMB 2136, Jos, Nigeria, 23451

Email: qtunji@yahoo.co.uk

ABSTRACT

Desertification is a very serious environmental problem in the northern part of Nigeria The United Nations Conference on Desertification (UNCD, 1977), defines desertification as the diminution or destruction of the biological potential of the land cover (forest cover) leading ultimately to desert like conditions. Abubakar (1999) describes it as a process that may act to force the conditions of a part of the earth’s surface or its surrounding atmosphere to become unpleasant or less useful to man – an extreme case of land degradation.

Studies carried out in the Northeastern Nigeria in the past attest to the fact that indeed there is a gradual but negative transformation taking place. This is most disturbing and calls for serious attention. However, Remote Sensing and GIS techniques had never been used to ascertain the rate of desert encroachment in the study area.

The study area extends from latitude 110 00’N to 130 45’N and from longitude 10020’ E to 130 55’E. This is the area commonly known as the Sahel Savannah. It covers about three states – Borno, Yobe and Bauchi States of Nigeria.

The data input are landsat images of 1987 and 2001, Soil Map, Rainfall, Temperature, wind speed data and Digital Terrain Model of the study area

A multi criteria evaluation (MCE) technique was used to merge the six map layers into a single suitability map. Weights were first allotted to each map layer according to the degree of contribution to desertification. All the weights add up to ten (10) after merging. The weighted linear combination aggregation method multiplies each standardized factor maps (i.e. each raster cell within each map) by its factor weight and then sums the results. The final suitability map was produced for 1987 and 2001. Suit_Desert = f (Soil, Temp, NDVI, Wind Speed, LU/LC, Rainfall)

The study shows sand dunes are not the only indicators of desertification. Climatic conditions such as temperature, rainfall, wind speed are very good contributors to desertification. Statistics derived from Suitability maps indicates that areas highly susceptable to desertification increases from 3854.29sqkm to 3916.45sqkm in 2001. Also noticeable and significant too is fallow cropland which increases from 16238.64sqkm in 1987 to 16277.63sqkm in 2001. Added to this cultivated cropland decreases from 9659.03sqkm in 1987 to 10556.66sqkm in 2001.


CLIMATIC CHANGE AND DESERTIFICATION PREDICTIVE MODELING IN THE NORTHEASTERN NIGERIA

Ojonigu Ati, Taiwo Qudus*

National Centre for Remote Sensing, PMB 2136, Jos, Nigeria, 23451

qtunji@yahoo.co.uk

ABSTRACT

Most available data on climate change are mainly global, whereas the effects of it is on this premise that this study investigated the regional evidences of climate change using Northeastern Nigeria as a case study. Means monthly and annual (air, temperature and rainfall) form 7 synoptic stations between 1901 and 2005 were collected from the Nigerian Meteorological Station, Lagos. The data were divided into 3 climate periods namely 1901-1935, 1936-1970 and 1971 to 2005 for the purpose of this study. Isohyets and Isotherm maps were created from the data while time series and chi-square were some statistical techniques used in analyzing the data.

The 500mm Isohyets which was found in the country between 1901 and1930 has shifted to within Nguru region by 1970 to2005. Six criteria were identified to be favorable for the creation, spread and encroachment of desert within the study area. These include rainfall, atmospheric temperature, soil characteristics, wind speed, absence of vegetation and landuse/landcover pattern. All the criteria are indirectly linked to the presence or absence of vegetation.

The results show that while the air temperature is steadily increasing especially from the 1970s, rainfall amount and duration were on the decrease. Furthermore, sand dunes are not the only indicators of desertification. Climatic conditions such as temperature ( both air and land surface), rainfall, wind speed and direction etc are very good contributors to desertification. Suitability map derived from Landsat image of 1987 shows that area highly sustainable to desertification increases from 3854.29sqkm to 3916.45sqkm. Also noticeable and significant too is fallow cropland which increases from 16238.64sqkm in 1987 to 16277.63sqkm in 2001. Added to this cultivated cropland decreases from 9659.03sqkm in 1987 to 10556.66sqkm in 2001.

The observed climatic trend is a pointer to a major climate change in the nearest future that will impose threat not only to the ecology-economic sectors of the country
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