The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W19
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W19, 421–423, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W19-421-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W19, 421–423, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W19-421-2019

  23 Dec 2019

23 Dec 2019

CANOPY COVER ESTIMATION FROM SATELLITE DATA FOR ACACIA MANGIUM PLANTATION BASAY, NEGROS ORIENTAL

F. A. M. Tandoc1, C. J. S. Sarmiento1,2, E. C. Paringit1,2, A. M. Tamondong1,2, F. J. O. Pamittan1, R. A. G. Faelga1, A. A. C. Maralit1, R. A. Lopez1, C. M. M. Arellano1, and C. Z. Vidad1 F. A. M. Tandoc et al.
  • 1Project DIME: Monitoring and Assessment of Planting Activities, University of the Philippines, Diliman, Quezon City 1101 Philippines
  • 2Department of Geodetic Engineering, University of the Philippines, Diliman Quezon City 1101, Philippines

Keywords: satellite images, forest inventory, forest monitoring, canopy cover

Abstract. Forest assessment and measurement can be costly, laborious and time-consuming when done manually. Remote Sensing aids by providing data of sufficient accuracy for large tracts of forest lands in the form of maps. These data can then assist in decision- making for better forest management. This study estimated canopy cover, a primary forest measurement parameter, using remotely- sensed data. Satellite images such as Planetscope and WorldView were used to estimate canopy cover. The results were then compared to measurements obtained from a manual inventory – in this case, of an Acacia mangium plantation. The manual inventory was conducted in a National Greening Program (NGP) site in Basay, Negros Oriental. Field inventory involved a Static Global Navigation Satellite System (GNSS) survey and a Total Station survey to get the accurate location of trees present in the plot. Diameter- at- breast was measured for all trees. Tree height and crown diameter were measured for at least 10 percent of all trees in the plot.