Agricultural Data Modules

China has a vast territory with diversified climate and frequent natural disasters. The agricultural production distributes extensively, with complex categories and varieties of crops and large differences in farming systems. It is difficult to accurately obtain relevant data through traditional methods, and the future of agriculture is bound to develop in the direction of large-scale, standardization and low manpower. In the process of production and planting, the demand for dynamic, large-scale, rapid and timely spatial information data is emerging.

TerraQuanta utilizes satellite remote sensing combined with independently developed AI algorithms to provide cost-effective data products for agricultural production, such as precise identification of crop types and continuous monitoring of their growth process. In the fields of wide-area planting management, rural financial risk control, agricultural insurance and so on, we assist customers to carry out continous crop growth monitoring, meteorological monitoring, disaster analysis and other services, so that we can capture the growth status of agricultural resources and crops without remote sensing professionals, and make agricultural production more controllable.

Cultivated Land Resource Monitoring

💡 Through normalized monitoring of cultivated land, agricultural users can dynamically understand the area and distribution of cultivated land resources, and use key scientific data to support farmland land protection.

Core Index

Technical Index	Data
Data Format	Raster
Spatial Resolution	Max: 0.5m, Standard: 10m
Time Resolution	Max: Month, Standard: Quarterly
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Spectrum Input (TMSI)

Cultivated Land Change Monitoring

💡 Based on the cultivated land monitoring data of two periods, the spots of suspected cultivated land increase and decrease are automatically extracted to help farmland protection enforcement quickly detect cultivated land encroachment events.

Core Index

Technical Index	Data
Data Format	Vector
Spatial Resolution	Max: 0.5m, Standard: 10m
Time Resolution	Max: Month, Standard: Quarterly
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Spectrum Input (TMSI)

Plot Extraction

💡 High resolution satellite images are segmented to extract the land boundary in the cultivated land area, in order to acuiqre key statistics index such as the amount and area of the cultivated land. At the same time by integrating crop monitoring data and crop distribution data, users can achieve "plot level" crop planting management.

Core Index

Technical Index	Data
Data Format	Vector
Attribute Information	Spot Area. Spot ID. Crop Type
Spatial Resolution	Max: 0.5m, Standard: 10m
Time Resolution	Service At Request
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Spectrum Input (TMSI)

Facility Agriculture (Greenhouse) Identification

💡 High resolution satellite images are segmented automatically extract greenhouse and other facility agriculture, and quickly obtain greenhouse distribution, quantity, area and other information.

Core Index

Technical Index	Data
Data Format	Vector
Spatial Resolution	Max: 0.5m, Standard: 10m
Time Resolution	Service At Request
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Spectrum Input (TMSI)

Crop Planting Monitoring

💡 Based on the spectral characteristics of crops in time series, major crop species are automatically classified, and the spatial distribution and planting area information of different crops are monitored, providing basic spatial range information for subsequent agricultural monitoring. As of now, we support the following species such as: corn, soybean, rice, winter wheat, cotton, rape seed, peanut, sugar cane, potato (for more crops, please consult TerraQuanta business personnel).

Core Index

Technical Index	Data
Data Format	Raster, Vector
Spatial Resolution	Max: 0.5m, Standard: 10m
Time Resolution	Each Planting Season
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Spectrum Input (TMSI)

Crop Growth Monitoring

💡 Continuous and dynamic monitoring of corresponding crops (referencing support crops) in designated areas. The normalized differentiated vegetation index (NDVI) used in this product reflects the growth status of crops, and the greater the value, the greater the probability of good growth in this region.

Core Index

Technical Index	Data
Data Format	Raster, Vector
Spatial Resolution	Max: 0.5m, Standard: 10m
Time Resolution	3～5 Days
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Spectrum Input (TMSI)

Crop Drought Monitoring

💡 Continuous and dynamic monitoring of corresponding crops (referencing support crops) in designated areas. The vegetation dryness index (VDI) used in this product reflects the growth status of crops, and the greater the value, the larger the degree of drought in this region.

Core Index

Technical Index	Data
Data Format	Vector
Spatial Resolution	Max: 0.5m, Standard: 10m
Time Resolution	3～5 Days
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Spectrum Input (TMSI)

Precipitation and Accumulated Precipitation Monitoring

💡 Normalized monitoring of the precipitation for each day and the accumulated rain volume in the crop growing region using meteorological monitoring data. The monitoring data includes the maximum, minimum, mean and accumulated amount of the day’s precipitation.

Core Index

Technical Index	Data
Data Format	Raster
Spatial Resolution	10km
Time Resolution	1 Day
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Meteorological Input(TMMI)

Temperature and Accumulated Temperature Monitoring

💡 Daily normalized monitoring of temperature and heat accumulation in crop growing areas is carried out by using meteorological monitoring data, including daily minimum temperature, maximum temperature, average temperature and accumulated heat.。

Core Index

Technical Index	Data
Data Format	Raster
Spatial Resolution	Greater than 50km
Time Resolution	1 Day
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Meteorological Input (TMMI)

Monitoring of the Disaster-affected Areas of Crops

💡 In view of the crop losses caused by flood, frost and drought in the certain area, the emergency monitoring and data analysis of the affected area of crops were carried out to quickly identify the affected area and spatial distribution information of crops, providing scientific spatio-temporal information support for the government's disaster prevention and mitigation, loss assessment and compensation by agricultural insurance companies.

Core Index

Technical Index	Data
Data Format	Raster, Vector
Spatial Resolution	Max: 0.5m, Standard: 10m
Time Resolution	Service At Request
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Spectrum Input (TMSI)

Assessment of Crop Loss

💡 Focused on flood, frost, hailstorm, drought and other three major agricultural disasters, and carrying out post-disaster degree of loss analysis services. (The product is designed to fit client’s damage assessment rules)

Core Index

Technical Index	Data
Data Format	Vector
Spatial Resolution	Max: 0.5m, Standard: 10m
Time Resolution	Service At Request
Servicable Area	Global
Service Mode	SDK, SaaS, WMTS
Main Data Source	TerraQuanta Multi-source Spectrum Input (TMSI)