[vc_row][vc_column][vc_column_text]<\/p>\n
Natural resources constitute the material basis for human survival and economic development; therefore, the survey, monitoring, and assessment of their distribution, status, and dynamics within the Earth system are essential for informed decision-making. Nowadays, the striking development of \u201cspace-air-ground-tower\u201d integrated monitoring infrastructure is driving natural resources survey, monitoring, and assessment into the big data era. A sheer amount of multi-source, multi-modal, multi-scale, and heterogeneous data dispersed across the web is being continuously generated via Earth Observation systems, UAVs, IoTs, tower-based facilities, and human-sensing. At the same time, making effective use of such data remains challenging, particularly in data management, multimodal fusion, efficient processing, and knowledge extraction.<\/p>\n
Addressing these issues requires more intensive collaboration between the Earth science community and the information science community. Against this background, NRSMA 2026 aims to provide an interdisciplinary forum for researchers and practitioners to exchange recent advances in theories, methods, techniques, systems, and applications for natural resources survey, monitoring, and assessment in the big data era.<\/p>\n
The workshop will focus on how Web and Big Data technologies can facilitate the use and interpretation of natural resources data, deepen our understanding of natural resources, and support their effective utilization and sustainable management.<\/p>\n
[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_tta_accordion][vc_tta_section title=”Topics” tab_id=”1669785352215-8e3485c4-ec7d”][vc_column_text]<\/p>\n
The topics of interest include, but are not limited to the following:<\/p>\n
[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Submissions” tab_id=”1669785090648-608172ee-d777″][vc_column_text]All paper submissions for NRSMA 2026 will be via Microsoft CMT<\/strong><\/a> (under the 1st International Workshop on Natural Resources Survey, Monitoring, and Assessment in the Big Data Era (NRSMA 2026)).[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Paper Submission Guidelines” tab_id=”1773647151586-663e9e0e-e9e5″][vc_column_text]All submissions must be written in English and conform to the Springer LNCS proceedings format with the following page limits: 12 pages including references.\u00a0 Authors must provide the complete and final list of authors at the submission stage. No addition, removal, or change in the order of authors is allowed after submission.<\/p>\n Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format:\u00a0https:\/\/www.springer.com\/gp\/computer-science\/lncs\/conference-proceedings-guidelines<\/a><\/span><\/p>\n [\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Organizers” tab_id=”1773647306547-8a841169-2cd6″][vc_column_text]Xiaohui Huang<\/strong> Yuewei Wang<\/strong> Xiaodao Chen<\/strong> Wei Han<\/strong> Fan Lei<\/strong> Yunliang Chen<\/strong> Jianxin Li<\/strong>
\nChina University of Geosciences (Wuhan), China
\nEmail: xhhuang@cug.edu.cn<\/a><\/p>\n
\nAssociate Professor, China University of Geosciences (Wuhan), China
\nEmail: yuewei.w@cug.edu.cn<\/a><\/p>\n
\nAssociate Professor, China University of Geosciences (Wuhan), China
\nEmail: xiaodao_chen@foxmail.com<\/a><\/p>\n
\nAssociate Professor, China University of Geosciences (Wuhan), China
\nEmail: weihan@cug.edu.cn<\/a><\/p>\n
\nThe Second Surveying and Mapping Institute of Hunan Province, China
\nKey Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources, China
\nEmail: 602273762@qq.com<\/a><\/p>\n
\nProfessor, China University of Geosciences (Wuhan), China
\nEmail: chenyunliang@cug.edu.cn<\/a><\/p>\n
\nProfessor, Edith Cowan University, Australia
\nEmail: jianxin.li@ecu.edu.au<\/a><\/p>\n