An Innovative Land Approach for Spatially Determining SDGs-Sustainably Governing German Spree Forest and Lusatia Region

In times of highest necessities for United Nations Sustainable Development Goals(SDGs)and acknowledging planetary boundaries,the need for understanding general global goals and regional to local strategic governing structures has to be supported while combining assessment,monitoring,governance approaches,together with landscape planning,land use based approaches,land system and sustainability science.The initial research embeds an incrementally worked out theoretical framework followed by applied research parts.The case studies and field data in the German Lusatia Region and inner part Spree Forest Region inhabit intrinsic drivers of finding ways over bridging deficiencies of theoretical and applied adjusted objectives and in this small excerpt mainly about the scale and planning level,instrumental flexibility deficiencies while transmitting global transformation needs to the regional,local planning level and backward(counter-current principle).Innovative instrumental assessment structures were created with a new approach of spatially determining SDGs for accelerated Climate Smart Planning(CSP)and Integrated Drought and Water Management(IDWM).This research supports processes around acceleration and assessment of climate change-,crises-related and sustainable development options while enhancing interdisciplinary sustainability science for gaining more regional land resilience.

Present land use and cover patterns and their development potential in North Ningxia

With the objectives to acquire the fundamental dat a of the territorial resource, understand the impacts of human activit ies on the land use and cover patterns and evaluate the potential of the future exploitation, an intensive land cover classification with an accuracy of 93% has been completed for North Ningxia by remote sen sing technique based on the adoption of a combination method composed o f texture training, maximum likelihood classification and post-processing such as re-allocation and aggregation. This classification result was incorporated with the contemporaneous socio-economic and meteorological d ata for cross-sectional regression modelling to reveal the spatial dete rminants of the land cover patterns and understand the human-environmen tal relationships. A tentative evaluation on the potential of soil exp loitation in the near future was carried out in combination with our land use and cover change detection results aiming at supplying some useful references for the central and local governments in their sustainable l and use planning.