This paper describes a cascading multimodal pipeline for high-resolution biodiversity mapping across Europe, integrating species distribution modeling, biodiversity indicators, and habitat classification. The proposed pipeline first predicts species compositions using a deep-SDM, a multimodal model trained on remote sensing, climate time series, and species occurrence data at 50x50m resolution. These predictions are then used to generate biodiversity indicator maps and classify habitats with Pl@ntBERT, a transformer-based LLM designed for species-to-habitat mapping. With this approach, continental-scale species distribution maps, biodiversity indicator maps, and habitat maps are produced, providing fine-grained ecological insights. Unlike traditional methods, this framework enables joint modeling of interspecies dependencies, bias-aware training with heterogeneous presence-absence data, and large-scale inference from multi-source remote sensing inputs.
Lifelong mapping is crucial for the long-term deployment of robots in dynamic environments. In this paper, we present ELite, an ephemerality-aided LiDAR-based lifelong mapping framework which can seamlessly align multiple session data, remove dynamic objects, and update maps in an end-to-end fashion. Map elements are typically classified as static or dynamic, but cases like parked cars indicate the need for more detailed categories than binary. Central to our approach is the probabilistic modeling of the world into two-stage $\textit{ephemerality}$, which represent the transiency of points in the map within two different time scales. By leveraging the spatiotemporal context encoded in ephemeralities, ELite can accurately infer transient map elements, maintain a reliable up-to-date static map, and improve robustness in aligning the new data in a more fine-grained manner. Extensive real-world experiments on long-term datasets demonstrate the robustness and effectiveness of our system. The source code is publicly available for the robotics community: https://github.com/dongjae0107/ELite.
The head office of Kokudo Chiri-in, GSI for short, is in Tsukuba (Ibaraki Prefecture) a city located about an hour's train ride northeast of Tokyo. The GSI could be said to be the National Agency for Geodesy and Cartography of Japan whose origins date back to the year 1869 (Meiji1), a period that is defined as the Meiji Restoration. The GSI, which is a Special Body of the
Ministry for Land, Infrastructure, Transport and Tourism, had almost 700 employees in 2018 (Heisei 30). In Tsukuba the GSI manages a Science Museum of Map and Survey which I visited in 2019 (Reiwa 1).
This article is dedicated to the current state of the land surveying and geodetic sectors in Ukraine, particularly in the context of the impact of the COVID-19 pandemic and Russian military aggression. The authors emphasize the critical role of these sectors in ensuring land and property rights, spatial planning, land resource management, and providing technological and environmental safety. The article examines the main transformations, challenges, and opportunities for the professional activities of land surveyors and geodesists during wartime, as well as their role in the post-war reconstruction of the country. Specifically, a detailed analysis of the certification dynamics of land surveyors and geodesists for the period of 2013–2024 has been conducted, allowing for an assessment of the sector considering both economic and social challenges. The increase or decrease in the number of newly certified specialists enables the evaluation of labor market activity and the impact of crisis factors on the sector's operations. The study also explores regional employment peculiarities, analyzing dynamics in front-line, de-occupied, rear, and support regions. The article highlights the significant role of gender balance in engineering professions, particularly noting the increasing access of women to technical specialties previously considered predominantly male. Analysis of gender ratios demonstrates progress in ensuring equal opportunities for both genders in the land surveying and geodetic fields. The main conclusions of the study indicate that the land surveying and geodetic sectors require the integration of the latest technologies, such as Geographic Information Systems (GIS) and remote sensing, to enhance their efficiency during wartime and post-war recovery. The use of unmanned aerial vehicles for geodata collection in hazardous regions and the adaptation of educational programs to train new specialists considering new realities are key development directions for the sector. The article is an important contribution to understanding the current challenges and opportunities for the land surveying and geodetic sectors during wartime, providing scientific and practical recommendations for strategic development.
Keywords: land surveying sector, geodetic sector, certified engineers, Geographic Information Systems (GIS), remote sensing, wartime, post-war reconstruction, gender balance, labor market, spatial planning.
Over the past ten years, the Conceptual Framework with the necessary changes has been repeatedly used in projects to create various Electronic Atlases, including the Electronic version of the National Atlas of Ukraine (ElNAU), Atlas Information Systems, and even GeoInformation Systems. At the same time, both practical tools and theoretical methods changed and evoluted. Both practical and theoretical activities continue and are very actual today. However, there was no separate publication on the current state of the Conceptual Framework of subject X, where X would assume the meaning of modern systems. In order to improve, expand and simplify its practical and theoretical usages, it is necessary to fix the main updates of the entire structure: both the Conceptual Framework itself, and the subject X, to which it is appropriate to apply it. Therefore, instead of the subject X = ElNAU, subjects-systems from the set AtS = {Atlas Systems} ' X are considered, and the Conceptual Framework itself is presented as a system method corresponding to the system approach, with an emphasis on design, although the Conceptual Framework can also be used for the study of systems, i.e. be a research method. Over ten years, the Conceptual Framework of subject X has become a rather extensive phenomenon, which forced us to stop only at the main (at least for us) updates.
Keywords: Atlas Systems (AtS), Conceptual Framework of AtS, Atlas infrastructure, AtS in the broder sense (AtSb).
Charles Hamesse, Timothée Fréville, Juha Saarinen
et al.
Miniaturization of cameras and LiDAR sensors has enabled the development of wearable 3D mapping systems for emergency responders. These systems have the potential to revolutionize response capabilities by providing real-time, high-fidelity maps of dynamic and hazardous environments. We present our recent efforts towards the development of such ultra-portable 3D mapping systems. We review four different sensor configurations, either helmet-mounted or body-worn, with two different mapping algorithms that were implemented and evaluated during field trials. The paper discusses the experimental results with the aim to stimulate further discussion within the portable 3D mapping research community.
Felix Igelbrink, Marian Renz, Martin Günther
et al.
Semantic mapping is a key component of robots operating in and interacting with objects in structured environments. Traditionally, geometric and knowledge representations within a semantic map have only been loosely integrated. However, recent advances in deep learning now allow full integration of prior knowledge, represented as knowledge graphs or language concepts, into sensor data processing and semantic mapping pipelines. Semantic scene graphs and language models enable modern semantic mapping approaches to incorporate graph-based prior knowledge or to leverage the rich information in human language both during and after the mapping process. This has sparked substantial advances in semantic mapping, leading to previously impossible novel applications. This survey reviews these recent developments comprehensively, with a focus on online integration of knowledge into semantic mapping. We specifically focus on methods using semantic scene graphs for integrating symbolic prior knowledge and language models for respective capture of implicit common-sense knowledge and natural language concepts
In this paper, generalising the idea of the Rokhlin property, we explore the concept of the twisted Rokhlin property of topological groups. A topological group is said to exhibit the twisted Rokhlin property if, for each automorphism $φ$ of the group, there exists a $φ$-twisted conjugacy class that is dense in the group. We provide a complete classification of connected orientable infinite-type surfaces without boundaries whose mapping class groups possess the twisted Rokhlin property. Additionally, we prove that the mapping class groups of the remaining surfaces do not admit any dense $φ$-twisted conjugacy class for any automorphism $φ$. This supplements the recent work of Lanier and Vlamis on the Rokhlin property of big mapping class groups. We also prove that the mapping class group of each connected orientable infinite-type surface without boundary possesses the $R_\infty$-property.
Joao Marcos Correia Marques, Albert Zhai, Shenlong Wang
et al.
Semantic 3D mapping, the process of fusing depth and image segmentation information between multiple views to build 3D maps annotated with object classes in real-time, is a recent topic of interest. This paper highlights the fusion overconfidence problem, in which conventional mapping methods assign high confidence to the entire map even when they are incorrect, leading to miscalibrated outputs. Several methods to improve uncertainty calibration at different stages in the fusion pipeline are presented and compared on the ScanNet dataset. We show that the most widely used Bayesian fusion strategy is among the worst calibrated, and propose a learned pipeline that combines fusion and calibration, GLFS, which achieves simultaneously higher accuracy and 3D map calibration while retaining real-time capability. We further illustrate the importance of map calibration on a downstream task by showing that incorporating proper semantic fusion on a modular ObjectNav agent improves its success rates. Our code will be provided on Github for reproducibility upon acceptance.
Daniel Seichter, Patrick Langer, Tim Wengefeld
et al.
A key proficiency an autonomous mobile robot must have to perform high-level tasks is a strong understanding of its environment. This involves information about what types of objects are present, where they are, what their spatial extend is, and how they can be reached, i.e., information about free space is also crucial. Semantic maps are a powerful instrument providing such information. However, applying semantic segmentation and building 3D maps with high spatial resolution is challenging given limited resources on mobile robots. In this paper, we incorporate semantic information into efficient occupancy normal distribution transform (NDT) maps to enable real-time semantic mapping on mobile robots. On the publicly available dataset Hypersim, we show that, due to their sub-voxel accuracy, semantic NDT maps are superior to other approaches. We compare them to the recent state-of-the-art approach based on voxels and semantic Bayesian spatial kernel inference~(S-BKI) and to an optimized version of it derived in this paper. The proposed semantic NDT maps can represent semantics to the same level of detail, while mapping is 2.7 to 17.5 times faster. For the same grid resolution, they perform significantly better, while mapping is up to more than 5 times faster. Finally, we prove the real-world applicability of semantic NDT maps with qualitative results in a domestic application.
Abstract. Cadastral system plays a pivotal role in land administration, which has attracted notable attention from researchers and policy-makers worldwide. Despite China being the most populous country throughout the world, its cadastral system is rarely studied. This paper conducts a comprehensive survey on the evolution of the Chinese cadastral system by elaborating the historical and contemporary Chinese cadastre. Specifically, contemporary Chinese cadastre is articulated from the aspects including content and purpose, legal basis, organization, and technical approaches, and compared with Swiss and Hong Kong cadastre. It is concluded that the Chinese cadastre evolved in a different way from that of the western countries due to China’s unique historical and economic background. This study sheds light on systematically understanding the development of the Chinese cadastre and further refining contemporary Chinese cadastral system.
Following Malý's definition of absolutely continuous functions of several variables, we consider $Q$-absolutely continuous mappings $f\colon X\to V$ between a doubling metric measure space $X$ and a Banach space $V$. The relation between these mappings and Sobolev mappings $f\in N^{1,p}(X;V)$ for $p\ge Q$ is investigated. In particular, a locally $Q$-absolutely continuous mapping on an Ahlfors $Q$-regular space is a continuous mapping in $N^{1,Q}_{\rm{loc}}(X;V)$, as well as differentiable almost everywhere in terms of Cheeger derivatives provided $V$ satisfies the Radon-Nikodym property. Conversely, though a continuous Sobolev mapping $f\in N^{1,Q}_{\rm{loc}}(X;V)$ is generally not locally $Q$-absolutely continuous, this implication holds if $f$ is further assumed to be pseudomonotone. It follows that pseudomonotone mappings satisfying a relaxed quasiconformality condition are also $Q$-absolutely continuous.
Maps are arguably one of the most fundamental concepts used to define and operate on manifold surfaces in differentiable geometry. Accordingly, in geometry processing, maps are ubiquitous and are used in many core applications, such as paramterization, shape analysis, remeshing, and deformation. Unfortunately, most computational representations of surface maps do not lend themselves to manipulation and optimization, usually entailing hard, discrete problems. While algorithms exist to solve these problems, they are problem-specific, and a general framework for surface maps is still in need. In this paper, we advocate considering neural networks as encoding surface maps. Since neural networks can be composed on one another and are differentiable, we show it is easy to use them to define surfaces via atlases, compose them for surface-to-surface mappings, and optimize differentiable objectives relating to them, such as any notion of distortion, in a trivial manner. In our experiments, we represent surfaces by generating a neural map that approximates a UV parameterization of a 3D model. Then, we compose this map with other neural maps which we optimize with respect to distortion measures. We show that our formulation enables trivial optimization of rather elusive mapping tasks, such as maps between a collection of surfaces.
Solomon Dargie Chekole, Walter Timo de Vries, Gebeyehu Belay Shibeshi
Land is the most vital resource on earth from which people derive their basic needs. In order to administer and manage this vital resource in a sustainable way, there are several mechanisms, of which the cadastral system is the prime one. Literature documents that the performance measurement methods of cadastral systems are not appropriate. In most developing countries, systematic performance evaluation mechanisms for cadastral systems are very inadequate. For example, Ethiopia has no systematic evaluation framework to measure and evaluate the state of cadastral systems. This article aims to develop an evaluation framework to measure and evaluate the performance of urban cadastral systems in Ethiopia based on the methods that have proven successful in developed countries. The goal is furthermore to present a set of good practices and a set of indicators that can provide an objective basis to support a systematic evaluation of urban cadastral systems in Ethiopia. The study employs a desk review research strategy and a qualitative analytical approach.
Zhiheng Li, Geemi P. Wellawatte, Maghesree Chakraborty
et al.
The selection of coarse-grained (CG) mapping operators is a critical step for CG molecular dynamics (MD) simulation. It is still an open question about what is optimal for this choice and there is a need for theory. The current state-of-the art method is mapping operators manually selected by experts. In this work, we demonstrate an automated approach by viewing this problem as supervised learning where we seek to reproduce the mapping operators produced by experts. We present a graph neural network based CG mapping predictor called DEEP SUPERVISED GRAPH PARTITIONING MODEL(DSGPM) that treats mapping operators as a graph segmentation problem. DSGPM is trained on a novel dataset, Human-annotated Mappings (HAM), consisting of 1,206 molecules with expert annotated mapping operators. HAM can be used to facilitate further research in this area. Our model uses a novel metric learning objective to produce high-quality atomic features that are used in spectral clustering. The results show that the DSGPM outperforms state-of-the-art methods in the field of graph segmentation. Finally, we find that predicted CG mapping operators indeed result in good CG MD models when used in simulation.
Avramchuk B. , Kharitonenko R. , Patiyuk O.
et al.
The authors developed twelve land management projects for the allocation of land plots to
individuals and submitted them for approval to the territorial body of the central body of executive
power, which implements state policy in the field of land relations.
The peculiarity of the study is that the developed projects are identical in terms of location
of land (adjacent land users), purpose, soil, composition of land and restrictions and burdens on
their use. However, the responses of the territorial body of the central executive body implementing
the state policy in the field of land relations to the consideration of each of these projects are
different , despite the fact that the aforementioned land management projects were developed using
the same methods, software and the same contractors.
The lack of a unified system of standards for the development of land documentation and its
constituent parts, as well as the criteria for reviewing and evaluating the compliance of such
documentation with the territorial bodies of the central executive body implementing state policy in
the field of land relations, is a key obstacle to a transparent land management process.
This, in turn, creates the need to analyze the preconditions for standardization of
documentation on land management and its components.
This paper proposes an optimized mapping of the FIR filter algorithm that enhances the rate of a reconfigurable computer over a basic mapping previously proposed [1]. It also presents a new interconnection scheme in the reconfigurable part of MorphoSys, a reconfigurable computing system [2]. Reconfigurable computing (RC) is introduced, followed by the MorphoSys RC system. Two optimized FIR mappings are then presented which deliver enhanced speed. A spreadsheet model will detail the modification and the improvement. The speedup achieved is also explained as well as the advantages in the mapping of the application.
We give a version of Gromov's compactess theorem for pseudoholomorphic curves in the case of quasiregular mappings between closed manifolds. More precisely we show that, given $K\ge 1$ and $D\ge 1$, any sequence $(f_n \colon M \to N)$ of $K$-quasiregular mappings of degree $D$ between closed Riemannian $d$-manifolds has a subsequence which converges to a $K$-quasiregular mapping $f\colon X\to N$ of degree $D$ on a nodal $d$-manifold $X$.
Researched the essence of land use of defense in Ukraine and formulated its definition. Installed that the regulation of the legal regime of most types of land of defense is absent today, and the Law of Ukraine "On use of lands of defense" doesn't respond to its name. In the subcategories of the land of the Ministry of Defense, for functional use, agricultural, forestry, nature conservation and urban land use are allocated. Unfortunately, land use is not allocated to the defense function, but part 5 of Article 20 of the Land Code of Ukraine refers precisely to the said law in terms of determining the peculiarities of the legal regime of land defense.
The peculiarity of the legal regime of the land of defense is that they can be only state or communally owned (under the objects of socio-cultural, industrial and residential purposes) property (Article 2, part 2, paragraph "c", paragraph 4 of Article 84 of the Land Code of Ukraine ) [2]. The Law of Ukraine "On use of land of defense" [1] provides that land use by the relevant subjects in the title of permanent use (Article 2 (1), but also provides (Article 4) the possibility of granting such land plots for secondary use for agricultural purposes : "military units, in coordination with local executive bodies or authorities and according to they procedure determined by the Cabinet of Ministers of Ukraine, can permit natural persons and legal persons to grow crops, graze livestock and (harvested) hay on land provided to them for permanent use. "
Analysis of scientific works shows that the concept of land use should be considered in the natural, legal, economic, environmental, defense and security and other aspects.
In sense defense and security terms, land-use of defense is a land mass, which consists of one, or several land plots separated on the ground, which are systematically used by military units and have a special regime to ensure the functioning of their properties, the storage of weaponry and military equipment.
Consequently, land-use defense is a land mass, which consists of one, or several land plots isolated on the ground, which systematically use military formations and have a special regime for ensuring the functioning of their property objects, the preservation of weapons, military equipment and other military property. The essence of land use of defense is reflected in its characteristics as a physical object, economic, legal, social and environmental defense-security land-property relations in a market economy.
The article considers innovative principles of development are explored. The role of
land monitoring in the management of agricultural land use and the preconditions for
improving agriculture has been highlighted. The concept of sustainable development of
the use of land resources is proposed. The foreign experience and trends of sustainable
land use development are described.