Abstract: The invention proposes a new system and method for estimating dynamic soil parameters based on multispectral or hyperspectral images. The system 105 has two-stage estimation architecture and a fully connected layer 108 that connects the two estimators. The system estimates dynamic parameters such as organic carbon in the soil based on multispectral or hyperspectral images 102 and also uses geocoordinates 100 and soil elevation 101 as inputs. Multispectral or hyperspectral images 102 are further processed in the pre-processing module 103 and the data 104 is transmitted to the training neural network 107 of the 1st degree estimation module 106. It further processes them in submodule 108 for the extraction of latent features, estimates the low-dynamic parameters of the soil and forwards them to the output. Also, the output data of submodule 108 is the input data of module 2 for the 2nd degree estimation which estimates the highly dynamic parameters. The low-dynamic parameters 112 are e.g.