The article shows results of compiling recommendation land use maps for land use and land resources management of the university experimental farm “Velykosnitynske”. Large-scale GIS mapping of experimental farms allows to improve land use and decision making, prepare recommendations to solve land management issues, planning of technology processes and efficient crop growing technology. Compiled recommendation maps are aimed to assist in rational land use planning and sustainable development of the territory.

AW3Dsup(TM), the world's most precise global 3D map service, became the world's first five-meter-resolution 3D map covering all global land spaces in April 2016 by using Advanced Land Observing Satellite (ALOS). In addition to five-meter-resolution global map, enhanced service offers a higher-resolution 3D map at half-meter or two-meter resolution, both of which are offered on an on-demand basis using commercial high-resolution satellite imagery. This paper introduces the project history, technical characteristics, service contents, use cases and future prospects of AW3Dsup(TM).

Participatory mapping of local land use as the basis for planning and decision-making has become widespread around the globe. However, still relatively little is known about the conceptual underpinnings of geographic information produced through participatory mapping in given cultural and linguistic settings. In this paper, we therefore address the seemingly simple question of what is (not) represented on maps through an exploratory case study comparing land use categories participants represented on sketch maps with categories elicited through more language-focused ethnographic fieldwork.

Periurban areas of growing cities in developing countries have been conceptualised as highly dynamic landscapes characterised by a mixture of socioeconomic structures, land uses and functions. While the body of conceptual literature on periurban areas has significantly increased over the past two decades, methods for operationalising these multi-dimensional concepts are rather limited. Yet, information about the location and areal extent of periurban areas is needed for integrated planning in the urban–rural interface.

This document, presents a learning story from the LEGEND Challenge Fund that supported partnership projects by civil society and private sector business to test approaches through which private business can potentially contribute to more secure land rights and better land governance in agricultural investment sites and supply chains. It explains the challenges involved in a participatory mapping exercise conducted jointly by a company Natural Habitats Sierra Leone Ltd (NHSL) a member of the Netherlands based Natural Habitats Group (NHG), and the NGO Solidaridad.

Drylands cover over 40% of the earth's surface and support over 2 billion people, globally (Millennium Ecosystem Assessment, 2005). In East Africa alone, over 250 million people depend on drylands for their livelihoods (De Leeuw et al., 2014) and in Kenya, 70% of the total land area is classified as arid- and semi-arid (Batjes, 2004). Over the last several decades, an increasing and more sedentary human population has resulted in more pressure on these lands, and an expansion of agricultural production into marginal dryland areas that were traditionally rangelands.

Cadastral maps can be used as an effective initial set of data for new street maps in particular, and any type of large scale map project in general. This is due to a) a high degree of currency and accuracy of the digital cadastral database (DCDB); b) DCDB’s overall high level of reliability in terms of completeness; and c) the availability of DCDB to the public. It is within the context of these three notable features that the Australian and Bruneian experiences with DCDB are examined.

Protected area managers rely on relevant, credible, and legitimate knowledge. However, an increase in the rate, extent, severity, and magnitude of the impacts of drivers of change (e.g., climate change, altered land use, and demand for natural resources) is affecting the response capacity of managers and their agencies. We address temporal aspects of knowledge governance by exploring time-related characteristics of information and decision-making processes in protected areas.

Indonesia has the most favorable climates for agriculture because of its location in the tropical climatic zones. The country has several commodities to support economics growth that are driven by key export commodities—e.g., oil palm, rubber, paddy, cacao, and coffee. Thus, identifying the main commodities in Indonesia using spatially-explicit tools is essential to understand the precise productivity derived from the agricultural sectors. Many previous studies have used predictions developed using binary maps of general crop cover.

Organic matter, an important component of healthy soils, may be used as an indicator in sustainability assessments. Managing soil carbon storage can foster agricultural productivity and environmental quality, reducing the severity and costs of natural phenomena. Thus, accurately estimating the spatial variability of soil organic matter (SOM) is crucial for sustainable soil management when planning agro-environmental measures at the regional level. SOM variability is very large in Italy, and soil organic carbon (SOC) surveys considering such variability are difficult and onerous.

The purpose of this guide is to introduce the process of mapping for communities facing destructive development projects. It also provides information on how to use maps in a campaign.

Land use and land cover (LULC) change influences many issues such as the climate, ecological environment, and economy. In this study, the LULC transitions in the Yellow River Basin (YRB) were analyzed based on the GlobeLand30 land use data in 2000, 2010, and 2020. The intensity analysis method with hypothetical errors calculation was used, which could explain the deviations from uniform land changes. The strength of the evidence for the deviation was revealed even though the confusion matrixes of the LULC data at each time point for the YRB were unavailable.