Relevance. Systematic collection and analysis of information on the quantity, condition, age and species diversity of green spaces, their distribution and use allow for effective management of the country green resources, development of measures for their protection, restoration and sustainable use. The development of Earth remote sensing technologies makes it possible to use space images as source materials for inventory of green spaces, thanks to which it is possible to conduct an inventory remotely instead of field survey, which reduces the time of work and its volume, thereby increasing the efficiency of land resources accounting. Aim. The use of satellite images to account for the land resources of Sosnovka Park in the inventory for the development of a digital passport of the object. Methods. Calculation of the NDVI using the QGIS geoinformation system. Results and conclusions. The authors have calculated the NDVI values of the satellite image. According to the obtained values, they identified the categories of elements of the park landscape of Sosnovka Park (artificially created objects, plantings, water bodies, etc.), determined their areas, as well as the total area of the park. The paper introduces the comparison of the results of the inventory conducted by ground and remote methods. The discrepancies do not exceed 4%, which corresponds to the forest management standards in force in Russia. The authors developed the scheme to improve the method of land inventory of recreational areas of urbanized territories using remote sensing of the Earth. The conclusion is made about the relevance, applicability and effectiveness of the improved method for the inventory of green spaces. Its implementation will reduce time, simplify the execution of works and reduce their cost, increase objectivity and provide access to archival materials for monitoring plant resources, identifying trends and forecasting prospects. The results obtained will form the basis for research related to the inventory of recreational areas, depending on the available data and the objectives of the study.