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The comprehensive inventory and monitoring of forest and other renewable natural resources by means of Remote Sensing data in the
'Three Norths' shelter forest region*


Xu Guanhua
The Research Institute of Forest Resource Information Technique
The Chinese Academy of Forestry


Introduction
The 'Three Norths' shelter forest region is situated in the northern part of China, 'Three Norths' is the abbreviation of the northwestern, northern and northeastern part of China, with a total area of 4,069,000 square kilometers, covering 42.4% of land area of China. The 'Three North's' area is the birthplace of the Chinese nation, with rich natural resources, and has experienced prosperities several times in the history of mankind. The area is pregnant with extremely great production potentials. In recent centuries, however, because of vicissitude in natural conditions and destruction by human activities, there has been extensive lack of the natural vegetation coverage. The forest coverage (including brushwood) is only 3.8%. It is the main forest-lacking and forestless area in China. The lack of vegetation coverage has caused droughts, sand blown by the wind, soil erosion and other natural calamities. The area of farmland and pastures that suffered from wind and sand damages amounts to 6,700,000 ha., and the desertized land has increased by 32,800,000 ha. In the past 30 years. Soil erosion has been extremely serious in the middle and lower reaches of the Yellow River, which causes the landform to be fragmented with crisscross gullies and ravines. Of the 1,600,000,000 tons of sand poured each year into the yellow Rover 80% derives from this region. The Yellow River bed is elevated 10cm each year, and so it has become the river above the ground. Natural calamities and destruction of ecological environment have seriously hindered the economic development of the area, and it is known as one of the backward regions of China..

In order to improve the ecological environment and to promote the economic development, the Chinese government began to establish shelter forest in this area in 1950s, and decided to construct the 'Three Norths' shelter forest system, known as the Green Great Wall, in 1970s. The orientation is to rationalize land utilization, to increase forest and pasture coverage, to develop shelter forest, to construct livestock bases and to realize self sufficiency in grain supply. The forest coverage is to be raised from 3.8% to 9.5%. The proportion of animal husbandry in productive value of agriculture is to be elevated from 16.9% to more than 30%. From the year 1978 till 1985, the investments made by the central and local governments in the project have surpassed 460 million US dollars, and the afforested area reported to the central government has amounted to 6 million ha. At present, the economic managerial administration in urgent need of evaluating the practical economic and ecological benefits resulted from the huge investment, in the 'Three Norths' project, such as the actual survival rate of afforestation, the rebuilt pasture area, the improvement of soil erosion and desertification. At the same time, it also desire to make clear the results of the economic policies and technical measures adopted in recent years, so as to provide a reliable base for the drawing up and completion of further construction plans of the 'Three Norths' shelter forest system.

The Comprehensive Inventory and Monitoring of Forest and Other Renewable Natural Resources by Means of Remote Sensing Data in the 'Three Norths' Shelter Forest Region is one of the key national projects for scientific development during the Seventh Five-year Economic Plan ( 1986 - 1990). Its goal is to answer the above questions put forward by the central economic administration, and to develop the remote sensing techniques in the process, thus to achieve the practical application of space-born remote sensing techniques.

Objective and working procedures
The objective of the project is to investigate the categories, distribution area and survival rate of the shelter forest; the quantity, quality and distribution of pasture land; as well as the types, distribution, quantity, quality and the current utilization status of the land resources by employing space-born remote sensing techniques in the 'Three Norths' region. On this basis, a resource and environment information system is to be established.

To realize the objective, the project includes the following contents:
  1. The serial thematic maps on the scale of 1:100,000 should be compiled with country as mapping unit by space-born remote sensing images. The serial thematic maps consist of forest distribution map, forest dynamic distribution map, forest site map, grassland type map, grassland classification map, land use map and land resources evaluation map. On this basis, maps on the scale of 1:500,000 should be compiled with province as mapping unit. These maps include forest distribution map, forest site map, grassland resource map, land use map and land resources evaluation map. At the same time, the above mentioned maps on the scale of 1:1,500,000 should be also compiled for the whole 'Three Nroths' region.

  2. Statistical analysis on renewable resources of major afforestation counties should be submitted. The statistical data should be calculated and obtained from thematic maps one the scale of 1: 100,000. The emphasis of resources analysis is to scientifically evaluate the suitability of afforestation and status of administration of various districts through comparison and analysis of survival rates of afforestation and grass-planting, and in the mean time, to deliver analysed results about the ecological benefits of the shelter forest.

  3. The resources and environment information and its dynamic monitoring system are to be established for the whole 'Three Nroths, region as well as for typical counties, for the realization of scientific management, dynamic monitoring and predictive analysis of forest and other renewable resources.

  4. Basic research and advanced research of remote sensing techniques are to be exploited, which includes the researches of spectral characteristics of objects, image processing, information system, expert system, analysis model and computer-aided cartography,. Such work would create conditions for setting remote sensing projects on a new level.
The project has been practiced according to the following steps:
  1. The first stage ( 1986). For the successful implementation of the comprehensive remote sensing inventory in the whole 'Three Norths' region, a typical experimental area was selected, so that the key problems concerning technical schemes and technical regulations for the project were studied and solved.

  2. The second stage ( 1987). The 'Three Norths' areas was divided into 6 category region according to their natural and economic conditions. Within each category region, 1-3 typical counties were selected to carry out remote sensing inventory experiments. The details of the technical scheme and regulations were drawn up on the basis of the characteristics of category region, thus to create conditions for the overall implementation of comprehensive remote sensing inventory.

  3. The third stage ( 1988-1989). Field investigation and serial mapping were to carry out in the whole 'Three Norths' region.

  4. The fourth stage (1990) . The serial mapping has been completed. The resource and environment information system for the 'Three Norths' region is being constructed.
More than 60 institutions took part in the project including Chinese Academy of Forestry, 9 research institute of Chinese Academy of Sinica, more than 20 colleges and universities, Chinese Academy of Agriculture, Forest Planning and Design institute, National Mapping Bureau, and local remote sensing research depths. The number of scientists concerned exceeds 300. At present ,the whole project has been basically completed, and will pass the state appraisal at the end of this year.

The technical achievements made during the project
  1. Breakthroughs have been Achieved in Both The Comprehensive Evaluation Techniques of Remote Sensing Data and The Satellite Image Processing Techniques.
    In the first stage of the comprehensive remote sensing inventory, Ping Quan county of Hebei province was selected as the typical experimental area. In Ping Quan experiment, Mulitple images of the same period were obtained from different space platforms and from aerial platforms of different heights, covering an area of 3,300 square kms. The images and photos obtained include Landsat MSS and TM images, SPOT HRV images, images taken by China Territory Satellite, as well as color 1R air photos on the scales of 1:130,000, 1:75,000 and 1:30,000. During the study, these images and photos were respectively evaluated according to multiple quantitative and qualitative factors, i.e. the geographic precision of the images, the precision of area measurement, the actual area of interpretable smallest objects, the visual interpretation results of boundary between different categories, the proportion of correct interpretation of patches for various categories, the area accuracy of patches for various categories, the cost and usability of images and photos, etc. In the meantime, a model was designed to make an integrated evaluation on the images and photos, and an integrated index was used to quantitatively describe the general effect of visual interpretation. Thus theoretical foundation was laid down for the evaluation of application potentials of various remote sensing images in the Landsat TM images as the backborn, with the Chinese satellite images and color IR air photos on the scale of 1:130,000 as auxiliary data in partial area was optimal combination of information source, both technically and economically, for the project. The SPOT images also possess its own technical advantages, however its was a pity that the problem to receive the SPOT data in China has not been solved and the images were not widely used .

    The project were carried out overall researches on processing techniques of a new generation of remote sensing images. According to the characteristics and needs of remote sensing inventory of renewable resources, peculiar information extraction techniques and the scheme about images scale, images seasons and bands combinations were proposed. For example, a method of superiority index factor was proposed for the evaluation of color composition of radioed images, which could quantitatively determine the optimal combination and thus avoid a host of experiments. Such work laid a foundation for the image processing techniques to transfer from optical processing to a stage of computer-optical one in large area remote sensing inventory.

  2. New Developments have been Achieved in the Techniques of the Comprehensive Remote Sensing Inventory and Serial Thematic Mapping.
    In the comprehensive remote sensing inventory. The different specialties could share the information sources and field work data thus saving human and material resources .The mutual comparison and coordination among the thematic , maps serial mapping have improved the mapping quality obviously but the comprehensive inventory and serial mapping is different from traditional technique .Especially the natural conditions of the vast 'Three North's region are complicated and the social and economic conditions are in great disparity. Therefore it is really an important task for this research to draw up a unified technical scheme to coordinate investigation contents classification systems and mapping methods of various specialties to guarantee the quality of the comprehensive remote sensing inventory and serial mapping the technical scheme formulated on the basis of the results of Ping Quan remote sensing Experiment by has brought about a important progress both scientifically and practically.

    1. The classification system of the comprehensive remote sensing inventory in the three North's region has been established.
      The characteristics of the classification system are:

      • to coordinate with existent thematic classification systems china ;
      • to present the characteristics of comprehensive remote sensing inventory by using image features as the main classification factor.
      • to emphasize consistency among thematic classification systems the macroscopic controlling concepts of type classifications among the thematic maps have been unified and then the contents of various thematical classification systems have been coordinated thus to avoid classification overlap.

    2. The rational scale of mapping and area measurements have been determined.
      The results of evaluation of aerospace remote sensing images on the scale of 1:500,00 1:200,00 anfd1:100,000 show that it is optimum to implement thematic mapping on the scale of 1:100,000 by using the generations of satellite images after computer optical processing such images could fully satisfy the requirements of the second level classification of various thematic mapping for example the following categories could be distinguished forested land shrub forest thin forest land cutover natural grassland man made grassland irrigates farmland no irrigated farmland vegetable plot orchard as well as railway high way river lake, flood land waste land salinised land marshland sandy beach etc. In the mean time some categories could be distinguished at the third level classification eg. Species or group of species could be delineated from forecasted land and rice land could be delineated from irrigated farmland etc. Therefore, the area measurement and mapping for the whole 'Three Norths' region have been basically completed by the images on the images on the scale of 1:100,000, and a number of the maps has submitted for publication.

    3. A new field was expended for mapping with remote sensing
      It was the first time in China to realize the compiling of serial thematic mapping on the scale of 1:100,000 at a large area for renewable resources with satellite images in the project. They are of originality and an important practical value.

      The forest dynamic distribution maps, compiled by relying on the superiority of availability of multi-temporal satellite images, and through the analysis and comparison, show forest changes from the 1970s to 1980s, and thus provide a foundation for the evaluation of afforestation results in the area.

      The forest site map is a map showing the position and classes of the land suitable to different species of trees for afforestation. The forest site map was compiled with satellite images as the major information source, and the site condition areas were delineated according to landscape types. Within site condition areas, The leading factors of site conditions were first determined according to statistical analysis of the relationship between site conditions and growth situation of forest trees, which was acquired through field investigation, and then site condition groups were delineated through interpretation of leading factors. Some of the leading factors ( for example, the soil thickness) could not be directly interpreted from remote sensing images, but they could be indirectly interpreted through correlative analysis of remote sensing information and knowledge of geography. The forest site map would play an important role in carrying out the principle of planting trees in the suitable places, and in drawing up to future afforestation planning for the 'Three Norths' region.

      The grassland classification map is a map reflecting grassland conditions quantitatively and qualitatively. In the compilation of the grassland classification map, ecological types, living types and vegetation coverage were interpreted, according to the differences in spectral reflectance of grass types and by combining geographical analysis of related regions. However, for the estimation of grass yield, besides satellite images, appropriate yield data, measured by ground investigation, should be applied, as well as precipitation data and sample yield data of many years in fixed position. All these data should undergo checking, correction and interbalance to finally obtain the grass yield. The compiling of the grassland classification map was also a new attempt in mapping by using space-born remote sensing data.

      The land resources evaluation map, which focuses on biomass production potentials of land, is used to make qualitative assessment on land unit, to make clear the quantity, quality and distribution of land resources, to determine the optimal direction of land use according to its suitability, to plan measures for land controlling and transformation in line with local conditions and in accordance with types and intensity of restrictive factors of a land. The land resources evaluation map was compiled based on the analysis of the shape, colour, spatial structure and dynamic evolution pattern of land units shown in satellite images. After such analyses , land suitability types and the quality classes were identified, and information of restrictive types were also abstracted. The land resources evaluation map would play an important role in the planning of an integrated land utilization program.

    4. The research on the ecological benefits of the 'Three Norths' shelter forest system by means of remote sensing data.
      The ecological benefits of the 'Three Norths' shelter forest system are centrally represented in the results of preventing soil erosion and desertification. In the / Three Norths' region, the factors that effect the intensity of soil erosion include gully density, land cultivation degree, slope and length of water collecting area, vegetative coverage etc. A mathematic model for the evaluation of soil erosion was established on the basis of estimating these factors by using remote sensing data. In the studies of the project, the expending and Shrinking of desert were also monitored in some typical areas of the 'Three Norths' region, through comparative analysis of multi-temporal satellite images. And mathematical models were established to analyze the relation between desert change and vegetative cover. For the northwestern part of China, the map of land desertification condition was also compiled. Up to data, the research results in typical areas preliminarily show that the increase of forest coverage played a positive role in preventing soil erosion and land desertification. However, the last conclusion still needs the verification of the results of long term remote sensing monitoring.

  3. The Establishment of the Resources and Environment Information System
    The purpose of establishing of the resources and environment information system is to put the results of the project into a data base and a spatial information system, and to renew these data through image processing of remote sensing data. On this basis, scientific management, integrated analysis and development prediction of multiple data have been realized. Such work made the comprehensive remote sensing inventory in the 'Three Norths, region break through the frame of previous resource investigations, and put it on a completely new level, The system was designed independently and all softwares of the system have been developed by ourselves, which possesses the following characteristics:

    1. Flexible in use and small in size:
      The system is installed on a micro-computer, equipped with a high resolution color display, a digitizer, a plotter, a CCT tape driver and other peripherals. Therefore it is small and flexible, easy to replant and cost effective, which makes it of high competitive capability.

    2. With complete functions:
      The system is composed of a geographical information management subsystem, a remote sensing image processing subsystem, and a statistical administration and analysis subsystem of forest resources. The main function of the geographical information management subsystem is similar to that of PC - ARC/INFO system, while the remote sensing image processing subsystem possesses the functions of general image processing system that fits in with needs of the resources inventory. The statistical administration and analysis subsystem of forest resources could realize the analysis and prediction of forest resources. Thus the practical function modules of the system could fully satisfy the requirements of resources information in acquisition, processing and analysis.

    3. Rational in structure:
      The system involves both the raster and vector data structure, and could carry out systematic administration of map data, thematic attribute data, spatial graphic data and satellite image data. The system combines the advantages of both raster and vector data structures, to save storage space and ensure the accuracy and reliability of the input data. In the means time, The system builds up the connection between the spatial data administration and the relational database management system ORACLE, thus expending the connection as well as the capability of system inquiring operation. The system, integrating a geographical information management subsystem and a remote sensing image processing subsystem into a universal information system, realizes the dynamic monitoring of the natural resources.

    4. Flexible in operation and manipulation:

      • Multiple functioning: It has the functions of map windowing, clipping, joining, overlapping, inquiring and drawing, and therefore brings great flexibility to the user.
      • The men-machine interactive processing of graphs brings about a friendly interface to select the objects and forms of display and regeneration by an intuitive way.
      • The Chinese character display is realized with user interface on the high resolution graphic display.
      • The mutual conversion of raster and vector data structures is realized, which brings about further adaptability.
      • Easy to expend. The system provides double user interfaces of both system application and system expansion. The user could utilize function module directly or further explore system functions through using the function base provided by the system, both for accomplishing the tasks of application analysis and administration. Thus it offers the user a possibility to exploit system potentials.
      • Application analysis. At present, the system provides multiple application functions under the two data structures, such as forest dynamic analysis, multiple elements analysis, tendency analysis, analysis on the development conditions of local situation.

  4. The Application Research of Forward Position Techniques of Remote Sensing were developed

    The project has made new advances in the forward position techniques of remote sensing application, which include:

    1. The application of expert system in interpretation and analysis of remote sensing images
      The expert system is a computer system to imitate the ability of human experts, and it is composed of two basic parts: a knowledge base and a inference engine. It has the ability to reduce conclusion from known information by applying logic inference rules. It has the project, two rule based expert systems for the interpretation of remote sensing images have been developed. One of them was based on the Bayes method, adopting mixed of forward reasoning and backward reasoning and the strategies of uncertainty inference. Whereas the other was constructed with LISP language, based on the method of integrating information, and proposed by Shafer. The common goal of these two methods is to comprehensively analysis with expert knowledge, the spectral data of images, and the topographic map, as well as well as the data of original thematic maps, to raise the interpretation accuracy. In the mean time, during the experiment, an expert system for analysis of the dynamic change of forest resources by LISP language has been also established, to determine the area and position of the change of forest resources.

    2. The application of mathematical models in the analysis and prediction of renewable natural resources.
      In the experiment, the research of the establishment of mathematical models has been carried out. The related ones are the model for land resources evaluation, the model for evaluation of site condition for afforestation and for site quality evaluation, the model for monitoring and prediction of changes of forest resources etc. For example, the mathematical model for forest timber volume estimation by remote sensing is based on a non-linear score model, in which the matching of satellite remote sensing data with ground sample plots has been realized, to estimate forest timber volume and to draw the distribution map of forest timber volume. Practices showed that these models were of important significance for the effective utilization of the multi-layer data of the resources and environment information system, and for the realization of qualification and automation of resources analysis, prediction and administration.

    3. The application of computer graphics in the resources and environment information system.
      In the process of establishing the resources and environment information system for Ping Quan county, the application research on related fields of computer graphics achieved development. The related papers published after the experiment discussed on many aspects of the problem, such as administrative system of spatial data, graphic data base, the expression of graphic information and its processing algorithms, the integrated analysis method of multi-layer data. All these have their theoretical significance and practical value.

    4. The application of research of extra-small scale color IR aerial photos in resources investigation.
      Color IR aerial photos of three scales have been taken In Ping Quan remote sensing experiment, including the extra-small scale color IR aerial photos on the scale of 1:130,000. In the experiment, the processing , enlargement, interpretation and measurement techniques have been studied. The study indicates that, owing to its high spatial resolution, spectral resolution and fairly low cost, the photos matching with satellite images has broad application in the investigation of forest and other resources, and is an information source of bright prospect..
Conclusion
  • The Satellite Remote Sensing Data Possess the Advantages of High Speed and Low Cost in the Macroscopic Inventory and Monitoring of Forest and Other Renewable Natural Resources on Large Area. Its Accuracy Could also Satisfy the Requirement of Production, and thus They have a Great Application Potential.
  • At Present, Visual Interpretation is Still the Major Way to Use the Satellite Images in the Macroscopic Inventory of Forest and Other Renewable Resources at Large Area. However, the Image Processing Differs from the Previous Methods Based on Optical Composition of Different Bands, but Stresses the Computer Enhancement of Digital Images, for Extracting Information about Multiple Renewable Resources, and for Improving the Results of Visual interpretation.
  • The Integration and Cooperation of Inventory of Various Natural Resources May Help to Improve Mapping Quality, and to Raise Mapping, and Thus the Inventory Cost Could be Reduced in a Wide Margin. This is the Development Direction of Resources Inventory.
  • The Integration of Remote Sensing Image Processing System, GIS, and Resources Analysis and Prediction System Would Benefit the Realization of Automation of Resources Management and Monitoring, and It is the Direction of Remote Sensing Development.
References
  • Xu Guanhua, Xu Jiian, The Study on Renewable Natural Resources by Remote Sensing Data, China Science Press, 1988.
  • Xu guanhua, Xu Jiian et., The Technical Scheme of Comprehensive Remote Sensing inventory and Monitoring in the ' Three Norths' Shelter Forest Region, China Forestry Press, 1987.
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* Xu Guanhua and Xu Jiyan are jointly in charge of the project