drones – TYC GIS – GIS, Teledetección y Drones

Projects TYC GIS® | Agricultural survey with satellite, orthophoto and drone imagery

Rodrigo Arias Braun — Thu, 23 May 2024 15:26:01 +0000

Remote sensing images (obtained through satellites, planes or drones) can be of great interest for the execution of certain agricultural survey studies. where it is interesting to have at its disposal a geolocalized data source, that is reliable and reproducible by the opposing party in order to avoid it being disputed.

Some examples of such applications include irrigation certifications, which demostrate the use of irrigation rigth given a certain data range, farms apprisal, for appraisals or productivity assessments, insurance claims for damages due, for example, weather events, settlement of boundaries or right of way disputes, or any other study that the expert surveyor needs to prove certain use, present or past, that can be analyzed through images adquired by satellites or aerial platforms.
An export report based on remote sensing data can be used in an insurance claim, in an appeal to a public administration or even in court proceedings if necessary.

Irrigation certifications

The existence of a satellite image archive, for example the case of Landsat, free and open since the 70s, enables to perform historical studies of the presence of irrigation crops. From these analysis we can, for example, prove that a given farm was irrigating before certain date or date range and therefore holds irrigation rights or can challenge the expiry of a concession.

Evolution of the NDVI index between may and june of 1997.

Calculation of irrigated surface per plot between may and june of 1997.

Property valuation

Images obtained through drones or satellites are a very interesting tool to assess the current state of a property, its evolution over time or to evaluate its past behaviour. This information can be used to carry out farms appraisals or to carry out historical productivity studies and include them in the valuation.

Example of satellite image where management patterns are observed.

Mapsens Agro App showing an inventory of olive trees generated through drone flight for a farm valuation.

Insurance claims

The fact that satellite images are a truthful and replicable data source, they can be used as a basis for agricultural insurance claims, for example in the case of climate events such as drought, frost, hailstorms, etc. As well as mapping and detecting the affected area, we can classify the surface area depending on the severity of the damages and provide much more detailed and complete information.

Damage on crops caused by hailstorm (Top natular color, bottom infrared false color).
Source: NASA Earth Observatory, Landsat 8, 2018.

Boundary disputes and rigths of way.

Not only satellite images can have expert value, but also aerial photographs taken by different state and regional public entities, such as Instituto Geográfico Nacional (IGN) in Spain or the geographical services of Autonomous Communities or City Councils.

Comparison of official cadastral mapping with current and historical aerial photograph can help analyze or resolve conflict between different landowners over the position of boundaries or right of way to the properties.

American flight orthophoto (1956, left) and PNOA most current (2022, right).

At TYC GIS we have extensive experience on both the preparation of expert survey informs for agricultural applications and on other fields, such as expert testimony in legal proceedings.

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INTEP Training | Precision Agriculture applied to Citrus crops

TYC GIS — Wed, 08 May 2024 15:38:51 +0000

Location: Roldanillo Valle del Cauca (Colombia)
Establishment: Instituto de Educación Técnica Profesional
Training: Agricultural Administrators, Precision Agriculture Seminar
Objective: Show the services and extent of precision agriculture through drones and satellite images.

We are pleased to announce the collaboration with Instituto Técnico Agrícola INTEP Roldanillo in Valle del Cauca to fortify the agriculture future through the implementation of innovative technologies. We are commited to the precision agriculture progress, applying drone and satellite images. This strategic alliance seeks to enhance the training in this key areas, preparing the students for the modern agricultural challenges.

We share with the students all the precision agriculture methods applied to the lemon crops on the farm, soil analysis, integrated management and drone appications, activities programme is explained, flight programme, velocity and drop size. We are also accompanied by helidrones and the release of the DJI Agras T50 sprinkler equipment.

If you are interested in recieving training applied to your industry, contact us here TYC GIS and ask for our training offer.

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DJI Matrice 350 RTK with LIDAR L2

TYC GIS — Thu, 07 Mar 2024 12:47:59 +0000

In TYC GIS we just acquired the new Matrice 350 RTK drone of DJI with a LIDAR L2 sensor to use it in our forestry, civil works and infrastructure monitoring and inspection projects.

For the first test flight, we flew over a holm oak forest with the objective of generating a LiDAR point cloud and analyze how much precision the L2 sensor can achieve.

Before the flight, control points were taken (GCPs) with two GPS EMLID Reach RTK RS2+ units. One of them was configured as the base and the other one as “rover” for the position capture of the targets on the ground.

The results were very satisfactory, and we wait with enthusiasm to put it into practice on our forestry and infraestructure projects.

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Project | Mapsens Agro | Mapping and inventory of oil palm cultivation

TYC GIS — Wed, 31 Jan 2024 12:20:06 +0000

● Location: Meta department (Colombia)
● Surface area: 3000 hectares
● Data source: Drone
● Main objective: Identify living palms and crop failures.
● General objective: Conduct a general inventory of the crop with precise data on the condition of the crop in terms of number of palms
● Date: December, 2023

Data collection is perfomed, it gets processed and the inventory is generated identifying living palms with a 1 and failures with a 0, indicating the row and numbering order nomenclature given at the time of planting.

Crop inventory from drone data provides a detailed compilation and valuable information about the condition, health and development of a specific area of the crop. Thin inventory is created from data collected by drones equipped with specialized sensors during planned flights over the areas of interest.

If you wish to know more about our precision agriculture SMART AGRO app, contact us here TYC GIS. SMART AGRO app uses drone, satellite, weather and field sensors data.

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Project | Mapsens Civil | Civil works monitoring

TYC GIS — Tue, 30 Jan 2024 11:44:18 +0000

● Location: Santander department(Colombia)
● Surface area: 4 hectares
● Data source: Drone
● Main objective: Identify works and follow up on civil works.
● General objective: Perform volume calculation, soil movement and general work monitoring.
● Date: December, 2023

Data is loaded to Mapsens® Civil to analyze collected information.

Data collection for work monitoring is an increasingly common practice on construction industry, thanks to the many benefits that this technology provides.

The results obtained are analyzed to evaluate the work progress, deviations from the original plan and take data driven decisions. This real time information facilitates early identification of problems, eficient resource management and optimisation of the construction process.

Drone data collection for civil works monitoring offers a detailed and updated perspective, improving precision and efficiency of the construction proyects management.

If you wish to know more about our Mapsens® Civil app, contact us here TYC GIS. Mapsens® Civil is a Web GIS app for the monitoring and inspection of works with drones.

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Project | Mapsens Agro | Citrus plantation mapping and inventory with drones

TYC GIS — Mon, 29 Jan 2024 11:37:20 +0000

● Property: La Venta
● Location: Valle del Cauca department (Colombia)
● Surface area: 231 hectares
● Data source: Drone
● Main objective: Identify the amount of trees
● General objective: Conduct the general inventory of the crop with precise data of the crop condition in terms of number of trees and their heighs.
● Date: November, 2023

Data collection is performed. Data is then processed and an inventory is generated identifying every tree and their heighs.

Citric crop inventory is carried out through the use of drone technology, which allows to collect precise data of the condition and health of the plantation. This method revolutionized the way agricultural data is collected and processed, providing a complete and updated view of the citrus field.

If you wish to know more about our SMART AGRO app, contact us here TYC GIS. It uses data from drones, satellites, field sensors and weather.

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Project | Mapsens Solar | Tahal Photovoltaic Plant Inspection

TYC GIS — Thu, 05 Oct 2023 14:35:21 +0000

In this project we worked on the thermographic inspection of the Tahal photovoltaic plant, in the province of Almería, for the cooperative Som Energía.

The objective of this project is to detect possible anomalies that could lead to premature aging of the photovoltaic plant, in addition to producing a reduction in energy yield. The inspection was carried out with a DJI Matrice 300 RTK multirotor drone equipped with an RGB camera and a high resolution thermal camera, following the IEC TS 62446-3 standard of the IEC (The International Electrotechnical Commission)

The RGB photographs were used for a visual inspection of the plant to detect possible flaws (dirt, breaks, etc.), while the thermal images were used for a first analysis with the Mapsens® Solar algorithm, which analyzes the thermal behavior of each of the modules and their corresponding cells, so that the results could later be analyzed by a certified thermographer.

All these data were uploaded to the Mapsens®Solar viewer so that they could be consulted by the cooperative that owns the photovoltaic plant.

Contact TYC GIS if you want to know the status of your photovoltaic plant.

Customer:

Project | Mapsens® Agro | System for control and optimization of pruning/clearing works for oil wells

TYC GIS — Sat, 15 Aug 2020 11:40:39 +0000

In this project TYC GIS worked on the development of a system to control and optimize the pruning/clearing of 135 oil wells in the Castilla and Chichimene fields (Colombia) with Mapsens® Agro.

The work began with the generation of detailed orthoimages of the locations and a digitalization of the vegetated and built-up areas. From this point on, these areas have been analyzed monthly with multispectral satellites. Monthly measurements have also been taken to relate vegetation height/development with the photosynthetic activity value to generate a predictive model to help plan maintenance works.

All this information is loaded into Mapsens® Agro for consultation. To improve its analysis, specific functionalities have been developed: a well finder/locator, pruning indexes (growth, clearing and stable), vegetation height estimation function, and a summary table of the general status of each well with areas worked, evolution, etc.

Customer:

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