INVENTORY OF HIGH VALUE CROPS USING LIDAR DATA AND GIS IN LANAO DEL NORTE PHILIPPINES

Authors

  • Carmel Sabado-Burlat Department of Civil Engineering, College of Engineering and Geosciences, Caraga State University, CSU, Butuan City, Philippines
  • Ma. Teresa T. Ignacio Phil-Lidar 2, College of Engineering, Mindanao State University- Iligan Institute of Technology, Iligan City, Philippines
  • Jaime Guihawan Phil-Lidar 2, College of Engineering, Mindanao State University- Iligan Institute of Technology, Iligan City, Philippines

DOI:

https://doi.org/10.11113/aej.v12.17822

Keywords:

Agricultural Resources, Land Classification, Object-Based Image Analysis (OBIA), Remote Sensing, Support Vector Machine (SVM)

Abstract

One of the objectives of Republic Act 8435 or Philippines Agriculture and Fisheries Modernization Act of 1997 is to modernize the agriculture and fisheries sectors by developing it into a technology –supported division.  In the Philippines, about 32% of the country's total land areas were agricultural lands. Mapping and delineating the agricultural crops are significant in the implementation of this Act. Moreover, having an updated and accurate inventory of the agricultural resources in an area is critical in the assessment, planning, and development specifically in providing the necessary government support to improve the agricultural system, like Farm-to-Market Roads (FMR), irrigation system, pre- and post-harvest facilities, among others. This study extracted agricultural crops like rice, corn, coconut, banana, and mango present in the province of Lanao Del Norte using Light Detection and Ranging (LiDAR) technology and Geographic Information System (GIS). LiDAR is an active remote sensing system with an illumination source from laser lights. Object-based image analysis (OBIA), multi-level support vector machine (SVM) classifier, and ground truthing were the general procedure in extracting and validating these crops. OBIA allows the segmentation of images derived from LiDAR datasets into meaningful objects. SVM classifier analyzes and identifies the pattern in the attributes of the segmented objects and classifies these objects based on its analysis. 71% of the extracted agricultural areas are planted with coconut, followed by banana with 13%, corn with 8%, rice constitutes 5%, and lastly mango with 3% of the total agricultural area. These extracted crops can now be utilized in updating the agricultural resource accounting of the province. Accuracy assessment was performed using 3,300 validation points gathered from the field and from orthorectified photos. Result of evaluating the accuracy shows that 80-90% of the crops were extracted and classified correctly. The accuracy assessment records an overall accuracy of 0.915 and a Kappa Index of Agreement (KIA) of 0.89147

References

Agricultural Transformation & Food Security 2040. Centennial Group International. JICA. Philippines Country Report. Access date: January 2013

Angelos Tzotsos. 2008. A Support Vector Machine Approach for Object Based Image Analysis, Lecture Notes in Geoinformation and Cartography, 2008: 663-677. DOI: https://doi.org/10.1007/978-3-540-77058-9_36

Department of Trade and Industry (DTI). (n.d.). Philippine Board of Investments. Lanao Del Norte http://www.boi.gov.ph/files/investment%20fact%20sheet/Lanao%20del%20Norte.pdf. January 2013.

Provincial Government of Lanao Del Norte. 2013. Disaster Risk Reduction and Climate Change Adaptation (DRR-CCA) Enhanced Provincial Development and Physical Framework Plan: 2013-2018, Lanao Del Norte

G. Lutero, E. Pizzoli. 2011. Inventories In Agriculture: Implications For Rural Development And Estimation Issues, 4th Meeting on Statistics on Rural Development and Agriculture Household Income.

Shara Grace Astillero, Carmel B. Sabado, Maria Teresa T. Ignacio. 2016. Object-Based Urban Building Extraction Using Lidar-Derived Datasets. International Symposium of Remote Sensing (ISRS). ISSN 1598-6969

M. Hung, and K. Germaine. 2008. Delineating Impervious Surfaces Utilizing High-Spatial Resolution Multispectral Imagery And Lidar Data. American Society for Photogrammetry and Remote Sensing (ASPRS). Portland, USA. 6

Philippines Statistics Authority. 2016. Performance of Philippine Agriculture January To March 2016, Philippines Statistics Authority, 2016, ISSN 2012-0451

Rudolph Joshua Candare, Michelle Japitana, James Earl Cubillas, and Cherry Bryan Ramirez. 2016. Mapping Of High Value Crops Through An Object-Based SVM Model Using Lidar Data And Orthophoto In Agusan Del Norte Philippines. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016, III-7 DOI : https://doi.org/10.5194/isprs-annals-III-7-165-2016

Stepane Dupuy, G. Laine, T. Tormos. 2012. OBIA for combining LiDAR and multispectral data to characterize forested areas and land cover in a tropical region. 4th International Conference on Geographic Object-Based Image Analysis (GEOBIA), 7 p. hal-00941801

S. Luo, C. Wang, X.Xi, H. Zeng, D. Li, S. Xia and P. Wang, 2015. "Fusion of Airborne Discrete-Return LiDAR and Hyperspectral Data", Land Cover Classification Remote Sensing 8(1): 0003, DOI: https://doi.org/10.3390/rs8010003

T. Blaschke, K. Johansen, D. Tiede, D. 2011. "Object-Based Image Analysis for Vegetation Mapping and Monitoring", Advances in Environmental Remote Sensing: Sensors, 2010: 241-271. DOI: https://doi.org/10.1201/b10599-13

T. Blaschke, 2010 "Object Based Image Analysis For Remote Sensing", ISPRS Journal of Photogrammetry and Remote Sensing, 65(91): 2-16. DOI : https://doi.org/10.1016/j.isprsjprs.2009.06.004

NDRRMC (National Disaster Risk Reduction and Management Council) http://www.ndrrmc.gov.ph/ Republic Act 8435 or Philippines Agriculture and Fisheries Modernization Act of 1997 Access date: January 2013

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Published

2022-02-28

How to Cite

Sabado-Burlat, C., T. Ignacio, M. T. ., & Guihawan, J. . (2022). INVENTORY OF HIGH VALUE CROPS USING LIDAR DATA AND GIS IN LANAO DEL NORTE PHILIPPINES. ASEAN Engineering Journal, 12(1), 183-187. https://doi.org/10.11113/aej.v12.17822

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