A web-based GIS Decision Support System for managing and planning USDA's Conservation Reserve Program (CRP)

The Conservation Reserve Program (CRP) is one of the largest programs of the U.S. Department of Agriculture (USDA) aimed at encouraging farmers and ranchers to address soil, water, and related natural resource issues on their lands in an environmentally sustainable manner. This paper outlines the design and development of a prototype web-GIS Decision Support System (DSS), CRP-DSS, for use in resource management and assessment of environmental quality. Specifically, the DSS is targeted toward aiding USDA to better manage and plan CRP enrollments. The DSS is based on the emerging industry-standard ArcIMS GIS platform and integrates a mapping component AFIRS (Automated Feature Information Retrieval System) and a modeling component SWAT (Soil and Water Assessment Tool). Our novel integrated web-GIS DSS is implemented using web server and Java Servlet technology over an ArcIMS platform to support data access and processing in a distributed environment. AFIRS functions as a feature extraction protocol that uses multisource geospatial data sets and SWAT serves to simulate long-term trends of soil and water quality. The prototype DSS was applied to simulate the sediment and nutrient dynamics of a small watershed in the Oklahoma Panhandle. We intend to develop the prototype CRP-DSS into a full-fledged tool geared to enable USDA better manage and plan future CRP enrollments.

[1]  Mahesh N. Rao,et al.  A GIS-based modeling approach for implementation of sustainable farm management practices , 2000, Environ. Model. Softw..

[2]  Raghavan Srinivasan,et al.  A modeling approach to evaluate the impacts of water quality management plans implemented in a watershed in Texas , 2006, Environ. Model. Softw..

[3]  R. Young,et al.  AGNPS, Agricultural Non-Point-Source Pollution Model: a watershed analysis tool. Research report , 1987 .

[4]  W Ahmad,et al.  Automating image classification, a preliminary foray using archival GIS data to label pixels , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[5]  Donato Malerba,et al.  A Comparative Analysis of Methods for Pruning Decision Trees , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Thomas G. Dietterich What is machine learning? , 2020, Archives of Disease in Childhood.

[7]  Tan Yigitcanlar Community based internet GIS: a public oriented interactive decision support system , 2002 .

[8]  Ralf Denzer,et al.  Generic integration of environmental decision support systems - state-of-the-art , 2005, Environ. Model. Softw..

[9]  Anton Bezuglov,et al.  Data model for a decision support in comprehensive nutrient management in the United States , 2006, Environ. Model. Softw..

[10]  Darius J. Semmens,et al.  The Automated Geospatial Watershed Assessment tool , 2007, Environ. Model. Softw..

[11]  John R. Williams,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .

[12]  R. Fuller,et al.  Classification of TM imagery in the study of land use in lowland Britain: practical considerations for operational use , 1990 .

[13]  J. Hamlett,et al.  Hydrologic calibration of the SWAT model in a watershed containing fragipan soils , 1998 .

[14]  C. Merry,et al.  INTEGRATION OF WATER QUALITY MODELING, REMOTE SENSING, AND GIS 1 , 1999 .

[15]  Raghavan Srinivasan,et al.  Regional estimation of base flow and groundwater recharge in the Upper Mississippi river basin , 2000 .

[16]  J. Townshend,et al.  Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers , 1998 .

[17]  J. Rominger,et al.  Modeling the fate of down-the-drain chemicals in rivers: An improved software for GREAT-ER , 2006, Environ. Model. Softw..

[18]  Kevin P. Price,et al.  Mapping conservation reserve program (CRP) grasslands using multi‐seasonal thematic mapper imagery , 1998 .

[19]  Rhonda K. Skaggs,et al.  Determinants And Implication Of Post-Crp Land Use Decisions , 1994 .

[20]  F. Leone,et al.  Ohio's statewide land use inventory: an operational approach for applying Landsat data to state, regional and local planning programs , 1975 .

[21]  Marvin H. Hall,et al.  A Web-based Decision Support Tool for Forage Species Selection , 2002 .

[22]  David B. Beasley,et al.  ANSWERS, areal nonpoint source watershed environment response simulation , 1981 .

[23]  J. Arnold,et al.  Advances in the application of the SWAT model for water resources management , 2005 .

[24]  Raghavan Srinivasan,et al.  INTEGRATION OF A BASIN‐SCALE WATER QUALITY MODEL WITH GIS , 1994 .

[25]  C. Brodley,et al.  Decision tree classification of land cover from remotely sensed data , 1997 .

[26]  Kurt Fedra,et al.  GIS and Environmental Modeling , 1993 .

[27]  Andrés L. Medaglia,et al.  Special Issue: OR/MS and E-Business: Decision Support with Web-Enabled Software , 2001, Interfaces.

[28]  D. R. Linden,et al.  Defining soil quality for a sustainable environment , 1994 .

[29]  Sara G. Baer,et al.  Assessment of soil quality in fields with short and long term enrollment in the CRP. , 2000 .

[30]  Robert L. Late Defining Soil Quality for a Sustainable Environment , 1995 .

[31]  Chansheng He,et al.  Integration of geographic information systems and simulation model for watershed management , 2003, Environ. Model. Softw..

[32]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[33]  David A. Landgrebe,et al.  A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..

[34]  Timothy B. Parkin,et al.  Defining and Assessing Soil Quality , 1994 .

[35]  Azriel Rosenfeld,et al.  Progress in pattern recognition , 1985 .

[36]  K. Price,et al.  Mapping Land Cover in a High Plains Agro-ecosystem Using a Multidate Landsat Thematic Mapper Modeling Approach , 1997 .

[37]  Katherine Fitzpatrick-Lins,et al.  Producing Alaska interim land cover maps from Landsat digital and ancillary data , 1987 .

[38]  J. Ross Quinlan,et al.  Decision trees and decision-making , 1990, IEEE Trans. Syst. Man Cybern..

[39]  Douglas L. Young,et al.  Comparing performance of the 1985 and the 1990 Conservation Reserve Programs in the West , 1994 .

[40]  Guoliang Fan,et al.  Automatic CRP mapping using nonparametric machine learning approaches , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[41]  M. Goodchild,et al.  Environmental Modeling with GIS , 1994 .

[42]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .