Currently existing quantitative remote sensing products are mainly based on source data from the same sensor. However

the use of a single data source limits the space–time continuity and accuracy of these products. In recent years

more sensors have become available

and an increasing demand to employ multisource data emerges to generate quantitative remote sensing products. We build a multisource data synergized production system to materialize this idea. However

data from different sensors are quite heterogeneous in many aspects

such as file naming rule

data format

number of files

geometric positioning

and band setting. The heterogeneity of multisource data has many challenges in almost all parts of the production system in the process of system development and further extension. Developers have implemented and exhausted diverse logics to tackle the difference among multisource data. Therefore

we propose a set of domain models for the data from different sensors to share the same behavior when addressing

moving

and dispatching. The domain model should be sufficiently flexible to adapt new data in arbitrary form when new products are integrated in the future. Based on the unified behavior of data

all related functions in the system are also unified and can be freely used regardless of the data type. Domain-driven design is a software design philosophy that tackles core complexity in the heart of software by iteratively refining a set of core domain models. A refined domain model is valuable because of its high reusability. Domain models can ensure that all business logics have unified interfaces throughout a large system.We propose a set of domain models for each business scenarios in our system

such as data hierarchy

filename parsing

repository pattern

script building

order configuration

and job running. Based on the proposed domain model

we have built a comprehensive multisource data synergized quantitative remote sensing production system. The system is order-driven and can automatically produce the required products.Cascade production is also supported

which means that

if a high-level product requires nonexistent low-level products

then these low-level products will be spontaneously produced. The function modules include data import

order management

data search

and production. The system supports approximately 30 types of source data from almost all commonly used sensors and more than 40 types of quantitative remote sensing products. Thousands of products have been generated

and the system performs well. During system development

the number of code lines and function points are significantly reduced by using the proposed domain model. During system extension

the domain model adapts well and is completely compatible with all new types of data and products without exception and modification. The proposed domain model has shown its generality to generate multisource data with unified behavior and flexibility to adapt new data and products. The model can significantly reduce the number of code lines and function points. Thus

system development and extension have become easier and more effective. The domain model can also be referenced by other data synergized production systems. In the future

we will attempt to refine the domain model to make it more versatile and flexible.