Conference Agenda

Snow water equivalent (SWE) is an important property of the seasonal snow cover and estimates of SWE are required in many hydrological and climatological applications, such as climate model evaluation and forecasting freshwater availability. Spaceborne microwave radiometer observations can be used to produce remote sensing SWE products. The reliability and accuracy of the SWE estimates made using microwave radiometer data can be improved by assimilating radiometer observations with weather station snow depth observations. The ESA GlobSnow and succeeding projects have produced a family of daily SWE products that utilize the assimilation approach. In this research, we are validating the updated version of the GlobSnow SWE product.

In the updated GlobSnow SWE product spatially and temporally varying snow densities are implemented into the retrieval. In the older product, constant snow density was used despite the location or time of winter. Updates were found to improve the SWE product. The underestimation of large SWE values was improved as was the overestimation of small SWE values. In Finland, the RMSE and MAE were improved from 39.40 mm to 33.87 mm and from 29.51 mm to 24.27 mm, respectively. The timing of the peak snow mass of the updated SWE product was also two weeks later than in the original GlobSnow SWE product. The timing of the peak snow mass of the updated product is more in line with other snow mass estimates.

Lakes in the basin of the Yangtze River, play a fundamental role in regional bio-geochemical cycles and provide major services to the communities, provisioning services (drinking water, fishing) and biodiversity keeping. However, the extreme temporal and spatial variability of these massive but extremely shallow ecosystems prevents a reliable quantification of their dynamics with respect to changes in climate and land use. Final aim is to model, map and explain the distribution of biodiversity and their associated habitats, explaining spatio-temporal changes in biodiversity caused by biotic and abiotic factors. Final aim is to model, map and explain the distribution of biodiversity and their associated habitats, explaining spatio-temporal changes in biodiversity caused by biotic and abiotic factors. Within this dragon 5 project ID 58815 three set of water bodies having rich biodiversity ,are taken into account the lakes of the Poyang Lake natural reserve, Jiangxi Province (BangHu, Mexihu, Dahuchi, Dachahu, Zonghuchi, Shahu ), the water bodies of the Western Dongting lake, Hunan Porvince (Xiaoxi, Daxi, Caisang,) and the disconnected lakes of the Anhui Province (Wuchang , Shenjin, Baiding Lakes ) .

In order to monitor water extent and water level of these lakes , Sentinel2 imagery have been proceed potential of IceSAT 2 data for given precise level reference was investigated. More precisely Lake water extent have been be generated exploiting Sentinel 2 optical HR time series based over the period 2015-2022 on in house tool, ExtractEO, a software implementing automated end-to-end chains on satellite data, with a focus on Sentinel1_3. Water surfaces are detected using a multilayer perceptron algorithm and integrating the GSW database for sampling.

Results obtain over the sensitive Anhui lakes, will be presented and discussed. Based on these preliminary results, guidelines for further investigation will be also presented.

Glaciers are crucial sources of freshwater in particular for the arid lowlands surrounding High Mountain Asia. In order to better constrain glacio-hydrological models, annual, or even better, seasonal information about glacier mass changes is highly beneficial. In this study, we test the suitability of very high-resolution Pleiades DEMs to measure glacier-wide mass balance at annual and seasonal scales in two regions of High Mountain Asia (Muztagh Ata in Eastern Pamir and parts of western Nyainqentanglha, South-central Tibetan Plateau) where recent estimates have shown contrasting glacier behavior. Annual mass balance in Muztagh Ata between 2019-2020 and 2020-2021 were -0.24 ±0.19 m w.e. a^-1 and +0.17 ±0.35 m w.e. a^-1, respectively. These results suggest a greater variability in mass budget than previously acknowledged in the region. The 2022 winter (+0.17 ±0.64 m w.e. a^-1) and summer (-0.89 ±0.41 m w.e. a^-1) balances provide provisional evidence for a winter accumulation regime, although mass balance uncertainties remain high in some cases due to the short temporal baseline. On the contrary, annual mass balances in the Western Nyainqentanglha Range for similar periods show highly negative mass budgets (-0.87 ±0.22 m w.e. a^-1 and -0.52 ±0.11 m w.e. a^-1), suggesting increased mass loss compared to the six previous decades. With some limitations due to the high uncertainty, the winter (-0.05 ±0.70 m w.e. a^-1) mass balance estimate does not show any mass recovery. Work is underway to compare the geodetic results with ICESAT-2 measurements and a snowline-fed mass balance model.