Sustainable Palm Oil Plantation

The data utilization in this sector includes land classification, feature identification, tree counting, slope analysis, watershed analysis, and crop health assessment. To provide an effective solution, the level of confidence that we provide is up to 99.9%, far above the land evaluation using satellite imagery.

Precise Topography Model

  1. Digital Surface Model (DSM), is a numeric representation of the earth's surface. DSM still contains all the objects that are at ground level.
  2. Digital Terrain Model (DTM), is a digital representation (numerical) of terrain or in more details, defined as a representation of discrete topographic surface without any features included.
  3. Contour, is an imaginary line to describe all the points which have the same height above or below the surface of the particular datum that called the average sea level.

Location Based Analytics

  1. Vector Map, Is a processed map where every area has been digitized and classified specifically. It is commonly used to generate land use or land cover map, as well as themed map and feature identification.
  2. Object Counting, is commonly generated to audit the number of plant or tree inside a specific area (could be afdeling or block).

All of these features are meant for classifying lands and objects inside the concessions. On every object classified, attributes such as planting year, historical production data, and other important information can be embedded.

Periodic Survey

The acquired data can be overlayed to older data to see alterations happened in the period between. This feature allow management to assess the growth of the crops, the infrastructures being built by contractors, or to see environmental changes.

For oil palm plantations, the most common period between survey is 1-2 years for newly planted blocks, and 3-5 years for productive blocks.

See the Unseen

Multispectral camera allows us to observe the unseen spectrum which is infra-red, which can be used to identify health condition of crops. By having this data, agronomist can identify anomalies on crops, or phenomena on blocks. Therefore, allowing management to take action quicker to mitigate the effects.

All Information in a Single Interface

All of the data acquired by drones, which already embedded with information and historical data, can be presented on a single WebGIS interface, that can be opened through any devices with internet connections. This allows management in head office to be able to understand the problem in their plantations

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