The present application belongs to the technical field of
remote sensing geographic
information processing and hydrological monitoring, and specifically relates to a
water volume calculation method based on spaceborne
laser radar data and
geometric space constraints, which comprises the following steps: obtaining optical images to extract a lake boundary; obtaining ICESat-2
photon data to estimate measured
water depth; calculating a lake geometric
centroid, constructing a geometric scale factor, and combining a measured maximum
water depth to calculate a physical upper limit of the
maximum depth of the whole lake; establishing a multivariate polynomial fitting model of normalized distance and
water depth, taking the physical upper limit as an inequality constraint of the solution space to perform parameter optimization; generating a whole-lake distance
field based on
Euclidean distance transformation, extending the fitting model to a three-dimensional space to construct an
underwater topographic model, and then integrating to estimate the
water volume of the lake. The present application effectively solves the
overfitting problem of
terrain inversion under sparse data through geometric scale constraints, and is suitable for lake storage monitoring in data-free areas.