Abstract. Fertilizer application is a crucial farming operation for regulating crop health thus crop yield. Optimal fertilizing doubles agricultural production subsequently raising farmers’ income, food security and economic agriproducts. To optimize the application of fertilizers, initial monitoring of the current nutrient status of the crops is required. This research will focus on Nitrogen (N), the most extensive fertilizer nutrient in crop cultivation. Conventional N monitoring involves the use of Leaf Color Charts (LCC) wherein leaf color intensity is associated with the N content of the crops. Despite its ability to quantify the optimal amount of needed fertilizers, the LCC method requires extensive on-site labor and lacks accuracy. This study developed a method that incorporates capabilities of Unmanned Aerial Vehicles (UAVs) equipped with a multispectral sensor in N monitoring specifically in rice crops, a major agricultural product in the Philippines. In situ N level information collected through LCC was correlated with remote sensing data, particularly vegetation indices (VIs) extracted from UAV multispectral imagery of a rice plantation in San Rafael, Bulacan. Several VIs sensitive to crop N content were tested to determine which has the highest correlation with the LCC data. Through Pearson correlation and regression analysis, NDVIRed Edge was found to be the most strongly correlated with LCC data suggesting its potential in mapping variability in fertilizer requirements. An equation modelling LCC observations and NDVIRed Edge values that estimates the N levels of an entire rice plantation was generated along with the N concentration map of the study area.

Abstract. Land Administration is needed to provide sustainable development of a country as it is concerned with land tenure, use, value and development. The Philippines is challenged as it has multiple land agencies having different and redundant land administration systems. Initial initiatives to have a single land agency did not prosper but recently, two (2) major national land agencies: the Land Management Bureau and the Land Registration Authority are initializing land information system linkages and data sharing. Local government units (LGU) in the Philippines are also mandated to perform land administration functions. It covers functions related to land use, value, development, and partially with land tenure.The Land Administration Domain Model (LADM) can be used in the improvement of the land administration system of a country. It has been adopted by several countries worldwide and has been a subject of many academic researches. However, only few researches were done related to the adoption of LADM in the Philippines. With this research, LADM was used to integrate the land administration system functions of an LGU, specifically the City of Makati, Philippines. The results show that LADM can be adopted in the study area. Adoption done by the researchers was limited to two-dimensional classes with proposed additional external classes not included in the original LADM.