Object-based approach for agricultural vegetation mapping using WorldView-2: a case study in part of Dieng Plateau, Central Java

Siti Martha Uly Br Sinaga; Muhammad Kamal

doi:10.1117/12.2541865

24 December 2019 Object-based approach for agricultural vegetation mapping using WorldView-2: a case study in part of Dieng Plateau, Central Java

Siti Martha Uly Br Sinaga, Muhammad Kamal

Author Affiliations +

Proceedings Volume 11372, Sixth International Symposium on LAPAN-IPB Satellite; 113720L (2019) https://doi.org/10.1117/12.2541865
Event: Sixth International Symposium on LAPAN-IPB Satellite, 2019, Bogor, Indonesia

Abstract

Providing accurate and up-to-date agricultural vegetation maps is a very important task for agricultural land evaluation and monitoring. These maps allow various kinds of spatial analyses could be conducted to optimally manage and utilize of land resources. One of the newly developed approaches in information extraction from remote sensing data is objectbased approach or widely known as Geographic Object-Based Image Analysis (GEOBIA). This study aims to utilize GEOBIA and a pan-sharpened WorldView-2 image (0.5 m pixel size) to identify and map agricultural vegetation types in part of Dieng Plateau, Central Java, Indonesia. A multiresolution segmentation algorithm was used to partition the image into vegetation object candidates based on some segmentation criteria. The accuracy of segments created were evaluated by visually comparing the segmentation result with the objects border on the image and field visit. A hierarchical conceptual model was created to systematically classify targeted agricultural vegetation objects, and the relevant interpretation keys for each object were identified. For the classification process we implemented a rule-based classification based on segment’s values, shape, homogeneity, texture, compactness, asymmetry, roundness, elliptic fit, number of pixel and border length. The result showed that the combination of GEOBIA and WorldView-2 were able to discriminate and map the types of agricultural vegetation into cabbage, carica, carrot, chili, potato, potato with soil solarization, and tamarillo with a reasonably high accuracy.

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Siti Martha Uly Br Sinaga and Muhammad Kamal "Object-based approach for agricultural vegetation mapping using WorldView-2: a case study in part of Dieng Plateau, Central Java", Proc. SPIE 11372, Sixth International Symposium on LAPAN-IPB Satellite, 113720L (24 December 2019); https://doi.org/10.1117/12.2541865

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KEYWORDS

Vegetation

Agriculture

Image segmentation

Visualization

Image classification

Java

Remote sensing

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