Land use change simulation TerrSet
Terrset is a comprehensive, monitoring and modeling of the Earth system to implement geospatial software systems for sustainable development. The system uses IDRISI GIS analysis and development of image processing tools and comprising a series of vertical applications. Terrset provide space for study geography widely used tools in a single, affordable package. Do not have to buy expensive additional software.
TerrSet software features include:
GIS Analysis System : Analysis of basic tools for GIS analysis, mainly for raster data. GIS analysis tool set of features including a multi-standard and multi-objective decision-making procedures, as well as a variety of statistical tools, change and surface analysis. Also it provides special graphical modeling environment for dynamic modeling and decision support. GIS analysis tool set also provides a scripting environment and a highly flexible application programming interface (API), which allows the use of C ++, Delphi and Python language to control TerrSet. In fact, all of the components are very TerrSet widespread use of this API.
IDRISI GIS analysis of the main features
Database Query
○ able to query raster and vector map layers and report basic statistics as well as space and time, histogram and the surrounding area and a list of profiles.
○ For the vector database, an integrated relational database management tool used to use the full functionality of SQL attribute data input and editing.
Derived map
○ a set of mathematical relationships and modeling tools used to derive new data layers based on existing layer.
○ equation model can be used as input map layers as variables or by using a graphical modeling environment.
Distance and background
○ context-rich set of operations, including Euclidean distance and cost procedures for the polymerization and decomposition of the direction of the force and friction, the path cost and space allocation routine procedure.
○ pattern and texture analysis capability, comprising successive sets of analyzing the local context by filtration and polymerization.
Spatial Statistics
○ set of tools intended to describe the spatial characteristics, including geostatistics and interpolation.
○ tool comprises measuring point distribution, simpler images regression, logistic regression, and a number of logic, the autocorrelation process, pattern and texture measurement, and polynomial trend surface analysis spatial sampling, and support for the random generation process of the Monte Carlo simulation.
Decision support and uncertainty management
○ graphical modeling environment for multi-standard and multi-objective decision support, including the applicability and land allocation drawing tools and procedures.
○ land distribution program, taking into account the continuity and compactness.
○ ordered based on a weighted linear combination of the weighted average and weighted standard, standardization and a broad set of fuzzy standard polymerization procedures seek consensus procedures.
○ by a Monte Carlo simulation of error propagation tool for assessing the risk of decision error propagation and aggregation set of fuzzy calculation, and using a Bayesian method and Dempster-Shafer weight of evidence supports the weight of circumstantial evidence summarized conclusions.
○ for mapping position above or below a threshold (e.g., the sea level) and the probability of re-classification program software, as well as spatial prior probabilities for the maximum likelihood classification.
Surface Analysis
○ mode for deriving, trends and topological features of the tool, e.g. slope, aspect, the illumination (hillshade) and curvature.
○ interpolation procedure including IDW, triangulation of irregular grid (TIN) model, Voronoi, trend surface mapping and geostatistics.
○ landscape and watershed delineation to determine the surface runoff and flow patterns, deposition and simulation capabilities to assess soil erosion.
○ conventional distance and the buffer distance and cost analysis tools comprise pathway analysis, analysis modeling tool provides a surface for generating a random image, image filtering and image samples.
Change and time series analysis
Identifying and quantifying a plurality of image change ○ tool, comprising a differential image, image ratio, return difference, change vector data analysis and qualitative analysis.
○ a set of tools for predicting land cover change modeling, comprising a Markov chain analysis, cellular automata, logistic regression and multiple logistic regression, CEOMOD and artificial neural networks.
Model Deployment Tools
○ image calculator, an interactive mathematical modeling tool that provides a simple calculator-like interface for building logic and algebraic formulas, and map layers as variables.
○ Macro Modeler, a graphical modeling environment, you can open all IDRISI GIS analysis tools can link to a map layer and algorithms chain of objects.
○ modeling algorithm for demanding applications, stand-alone tool or as a development of TerrSet additional components can be deployed, such as C ++ or Delphi programming language or a complete object model interface, such as a scripting language like Python industry standard COM.
The image processing system : a set of widely used in restoration, enhancement, classification and conversion program remote feeling of the image. Summary Terrset image processing system includes a wide range of industry classification assemblies, including those based on machine learning (such as neural networks) and classification of hard and soft characteristics of the statistical classification procedures.
IDRIS image processing main functions:
Image restoration
○ a complete set of geometric and radiometric tool for correcting image registration and eliminate image distortion.
○ subtraction using dark object model, Chavez Cos (t) model, the radiation transfer equation model or a full reflection performance model (ARM) is corrected. Landsat fully automated.
○ color balance for the image mosaic of the scene a plurality of single image.
○ radiation calibrated to convert the original DN.
○ principal component analysis consists of standardized and non-standardized model.
○ interactive image resampling facilities.
Image Enhancement
○ display image enhancement tools for highlight information in the image.
○ image filter 10 comprises a predefined filter, and the filter can be used to define a variable size.
○ Panchromatic image pansharpening pooled for high-resolution satellite image.
Image conversion
○ broad-based image conversion tool set
○ principal component analysis, including standardized and non-standardized, cross-product standardization and product expansion mode.
○ canonical correlation analysis of the image sequence analysis mode.
○ variable fraction of image noise and noise reduction.
Based on 19 slopes and vegetation index based on the index of distance ○.
Image Classification
○ extremely wide range of industry image classifier, including hard and soft classifier classifier.
○ supervised classification includes parallelepiped, Fisher LDA and KNN.
○ unsupervised classifier, including ISODATA, chain and K-means clustering.
○ machine learning classifier comprising a classifier analysis and neural network classifiers 4: multilayer perceptron (the MLP), self-organizing maps (the SOM), and radial basis function Fuzzy ARTMAP.
○ mixing soft classifiers and analysis tools, including Bayesian probabilistic classifier, Mahalanobis distance classifier, fuzzy sets and a linear classifier spectra separator. MLP, KNN classification and SOM also produces soft output.
Image segmentation
Tools for image segmentation and object classification for ○.
○ segmentation tool segment generated based on the spectral similarity.
○ An interactive signature development tools to facilitate signature from a segment.
○ specially constructed for staging classification majority rule classifier.
Image Import Support
○ import data archiving support for all popular formats and providers.
○ Land Change Modeler, applications for land cover change monitoring and forecasting.
○ Earth Trends Modeler, a time series analysis of the application image.
○ IDRISI GIS analysis tools to seamlessly link.
Land Change Modeling (LCM): a vertical application for analysis of land cover change, simulate its relationship with the explanatory variables based on experience and predict future changes. LCM also includes an assessment of REDD (reducing emissions from deforestation and forest degradation) climate change mitigation strategies of special tools.
Land Change Modeler main functions:
Change analysis of land
○ quickly generate charts and maps of land changes, including persistent gains and losses, net change and the specific transition.
○ advantage of the potential trend change abstraction tool reveals the complex land change.
The potential for analog terrestrial transition
○ land cover transition model represents the potential future land use change the likelihood of one of three ways - Multilayer Perceptron neural network, complete report explains the force of the driver variables, logistic regression and SimWeight, an improved machine - learning programs.
○ consolidation drive or explain the change of dynamic variables.
Change forecast
○ into the planning of interventions, incentives and constraints, such as reserves and infrastructure changes to facilities, these changes may change in the future development of modeling scenarios.
○ hard to predict scenarios mapped view of a multi-objective land competition model or as a single implementation of a continuous map is easy to change the map based on the prediction by creating soft.
○ three-way cross-tabulation by the quality of the land associated with the validation predict real map overlay. It reported a hit for hit and false positives.
REDD analysis
○ emissions accounting impact assessment of forest protection strategies related to REDD and carbon impact through a comprehensive scenario of greenhouse gases.
○ additional assessment and business as usual prediction scheme REDD projects.
Biodiversity and habitat modeling (HBM): a habitat for vertical applications evaluation, analysis and modeling landscape mode biodiversity. HBM also includes special tools for modeling species distributions.
The main features of habitat and modeling of biological diversity:
Species distribution modeling
○ suitability using various empirical modeling method for simulating the distribution of species or habitats. You can use Maxent interface.
○ use environment variables based on experience map map polygons refined range of species.
Impact Analysis
Land Cover Change on habitat, including habitat assessment, analysis and species habitat change analysis ○ gap assessment.
○ obtain landscape indicators from a single land cover map, including pattern analysis, or change process analysis from multiple land cover figures.
Biological Diversity
○ 通过绘制α多样性，伽马多样性，β多样性，Sorensen不相似性和范围限制来计算生物多样性。
○ 从IUCN濒危物种红色名录数据库导入物种范围图。
土地规划
○ 生成适合栖息地适宜性，生态意义和保护状态的生物走廊设计。
○ 使用保护规划工具MARXAN的界面开发储备选择和设计方案。
GeOSIRIS:国家一级REDD计划的特有工具，与国际保护组织密切合作。有了GeOSIRIS，人们可以对各种经济策略对森林砍伐和碳减排的影响进行建模。
GeOSIRIS RED的主要特点：
○ 模拟各种经济战略对减少碳排放的影响。
○ 包括关键的外部模型参数，如全球碳定价。
○ 模拟各级政府如何分享碳收入和罚款。
○ 模拟单个碳库排放。
○ 计算与砍伐森林和潜在农业收入相关的有效机会成本。
○ 计算REDD项目对国家农业定价策略的影响。
生态系统服务建模(ESM):一个用于评估各种生态系统服务价值的垂直应用程序，如水净化、作物授粉、风和波浪能。ESM的基础是自然资本项目开发的投资工具集。
生态系统服务建模的主要特征：
○ 水产量：衡量流域，子流域或像素水平的年平均径流量
○ 水电：估算水库潜在的能源产量及其价值
○ 水净化：计算养分保留和避免水处理的成本
○ 沉积物保留：估算流域的沉积保留和避免的沉积物去除成本
○ 碳储存和封存：估算当前在景观中储存或隔离的碳量及其价值
○ 木材采伐：模拟采伐的圆木材的总生物量和净现值
○ 栖息地质量和稀有度：根据威胁和土地覆盖变化估算物种栖息地的范围和退化
○ 作物授粉：评估农业传粉媒介的风度和经济价值
○ 栖息地风险评估：模拟栖息地分布和人类活动对栖息地风险的影响
○ 海上风能：评估沿海社区暴露于风暴引起的侵蚀和洪水的风险
○ 海水养殖：估算已有水产养殖系统的生产力和经济价值，或确定新水产养殖项目的理想潜在地点
○ 波能：确定用于选址波能转换设施的潜在波能的热点
Trends earth model (ETM): a tool for the analysis of Earth observation temporal sequence of images. By the ETM, we can find the basic earth system variables, such as the tendency sea temperature, atmospheric temperature, precipitation and vegetation productivity and repeating pattern. ETM is a special tool for assessment of recent climate change (for example: Over the past 30 years).
Trends in modeling the Earth's main features:
○ extraction and analysis of global trends and their long-term impact
○ examination of the relationship between time series
○ Check the seasonal trends
Real change ○ isolated from normal changes in the environment
○ reveal the pattern of variation on time scales and analysis
○ pre-processing time-series image data, including noise time elimination and removal
Climate change adaptation model (CCAM): the future of climate modeling tools to assess its sea level rise, crop suitability and distribution of species affected.
Adapting to climate change modeling features:
○ models and maps of global warming and sea level rise
○ produce global temperature and precipitation climate scenarios
○ 2,700 various species to establish the Global Crop suitability model
○ Export species modeled bioclimatic variables
○ introducing time-series data NetCDF
○ The global climate model data converted from the Gaussian grid is Latlong
○ reduce global climate model data
TerrSet also includes utilities for importing and exporting all major file and image formats, and includes a comprehensive documentation and tutorials data.
Terrset software download at the following address:
Link: https: //pan.baidu.com/s/1-4JBQ7WQfyU7eHDsBzqPYw
extraction code: ndu8
TerrSet System Requirements
TerrSet is an object-oriented systems, for use in professional-grade platform using the Microsoft Windows operating environment.
Windows 7 and above, or Windows Server 2008 or later
Tutorial Data 7.4 GB hard disk space
4 GB RAM, 8 GB or greater