Ankit Kariryaa

Ankit Kariryaa
University of Copenhagen · Department of Computer Science

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41
Publications
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868
Citations

Publications

Publications (41)
Article
Human-transformed agricultural and aquacultural ponds, collectively referred to as “dike-pond systems”, play a crucial role in ensuring food security but also contribute to the widespread loss of natural wetlands. However, spatially and temporally explicit patterns of dike-pond systems have not been thoroughly documented globally. Here, we map the...
Article
Full-text available
The baobab tree (Adansonia digitata L.) is an integral part of rural livelihoods throughout the African continent. However, the combined effects of climate change and increasing global demand for baobab products are currently exerting pressure on the sustainable utilization of these resources. Here we use sub-metre-resolution satellite imagery to i...
Preprint
As low-quality housing and in particular certain roof characteristics are associated with an increased risk of malaria, classification of roof types based on remote sensing imagery can support the assessment of malaria risk and thereby help prevent the disease. To support research in this area, we release the Nacala-Roof-Material dataset, which con...
Article
Full-text available
Agroforestry practices that include the integration of multifunctional trees within agricultural lands can generate multiple socioecological benefits, in addition to being a natural climate solution due to the associated carbon sequestration potential. Such agroforestry trees represent a vital part of India’s landscapes. However, despite their impo...
Article
Full-text available
Landscape restoration initiatives are mainly focusing on forest regeneration and agroforestry, especially in the Global South. However, due to a lack of monitoring tools, the carbon balance of restoration efforts remains poorly quantified. Here, we use satellite images from 2008 and 2019 to calculate carbon stocks for individual trees in Rwanda, a...
Preprint
Full-text available
There is a rising interest in mapping trees using satellite or aerial imagery, but there is no standardized evaluation protocol for comparing and enhancing methods. In dense canopy areas, the high variability of tree sizes and their spatial proximity makes it arduous to define the quality of the predictions. Concurrently, object-centric approaches...
Preprint
Full-text available
Agroforestry trees represent a vital part of India's landscapes, however, despite their significance, a current lack of robust monitoring mechanisms has contributed to an insufficient grasp of their distribution in relation to management practices, as well as their vulnerability to climate change and diseases. Here we map all agroforestry trees, ex...
Preprint
Full-text available
Landscape restoration initiatives are mainly focusing on forest regeneration and agroforestry especially in the Global South. However, due to a lack of monitoring tools, the carbon balance of restoration efforts remains poorly quantified. Here, we use satellite images from 2008 and 2019 to calculate carbon stocks for individual trees in Rwanda, a c...
Preprint
Full-text available
The iconic baobab tree ( Adansonia digitata L. ) is an integral part of rural livelihoods throughout the African continent. However, the combined effects of climate change and increasing global demand for baobab products are currently exerting pressure on the sustainable utilization of these resources. Here we employ sub-meter resolution satellite...
Article
Full-text available
The consistent monitoring of trees both inside and outside of forests is key to sustainable land management. Current monitoring systems either ignore trees outside forests or are too expensive to be applied consistently across countries on a repeated basis. Here we use the PlanetScope nanosatellite constellation, which delivers global very high-res...
Article
Unexploded munitions are some of the most enduring remnants of conflicts around the world. Their effects on the economy, health, environment, and post-conflict rehabilitation are long reaching and devastating for the areas they plague. With the advancements in very high spatial resolution (VHR) satellite multispectral imaging at sub-meter resolutio...
Article
Full-text available
Sustainable tree resource management is the key to mitigating climate warming, fostering a green economy, and protecting valuable habitats. Detailed knowledge about tree resources is a prerequisite for such management but is conventionally based on plot-scale data, which often neglects trees outside forests. Here, we present a deep learning-based f...
Article
Full-text available
The distribution of dryland trees and their density, cover, size, mass and carbon content are not well known at sub-continental to continental scales1–14. This information is important for ecological protection, carbon accounting, climate mitigation and restoration efforts of dryland ecosystems15–18. We assessed more than 9.9 billion trees derived...
Article
Very high-resolution satellite images and deep learning are achieving the mapping of individual trees and shrubs over large areas in Africa. Each woody plant is precisely georeferenced and defined by its crown area and, sometimes, its height. The challenge is to build allometric equations for foliage, wood and root dry masses based either on crown...
Article
Full-text available
Trees sustain livelihoods and mitigate climate change but a predominance of trees outside forests and limited resources make it difficult for many tropical countries to conduct automated nation-wide inventories. Here, we propose an approach to map the carbon stock of each individual overstory tree at the national scale of Rwanda using aerial imager...
Data
Outputs (results) on individual tree density, canopy cover, and estimated tree carbon stock in Rwanda using aerial images of 2008, published in "Mugabowindekwe, M., Brandt, M., Chave, C., Reiner, F., Skole, D. L, Kariryaa, A., Igel, C., Hiernaux, P., Ciais, P., Mertz, O., Tong, X., Li, S., Rwanyiziri, G., Dushimiyimana, T., Ndoli, A., Uwizeyimana,...
Preprint
Full-text available
Losses of coastal wetlands have been observed worldwide, but the extent to which inland wetlands have been exploited by humans is currently unknown on a global scale. Here, we map the distribution of land reclamation over global inland and coastal wetlands using high-resolution satellite observations. Results show that the total area of reclaimed w...
Article
Full-text available
As-the-crow-flies (ATCF) navigation is an alternative to turn-by-turn navigation for cyclists utilizing the least-angle strategy by providing the beeline to the destination. However, past research found weaknesses (e.g., running into dead ends) affecting the user experience. In this paper, we investigate how the street network attributes to the exp...
Preprint
Full-text available
The consistent monitoring of trees both inside and outside of forests is key to mitigating climate change. Current monitoring systems either ignore trees outside forests or are too expensive to be applied consistently across countries on a repeated basis. Here we make use of the PlanetScope nanosatellite constellation, which delivers global very hi...
Preprint
Full-text available
The consistent monitoring of trees both inside and outside of forests is key to mitigating climate change. Current monitoring systems either ignore trees outside forests or are too expensive to be applied consistently across countries on a repeated basis. Here we make use of the PlanetScope nanosatellite constellation, which delivers global very hi...
Preprint
Full-text available
Intelligent forest management is the key to mitigating climate warming, fostering a green economy, and protecting valuable habitats. Detailed knowledge about forests is a prerequisite for such management but is conventionally based on costly plot-scale data, rarely available at resolution of relevance for management strategies. Here, we present a d...
Preprint
Full-text available
Trees sustain livelihoods and mitigate climate change, but a predominance of trees outside forests and limited resources make it difficult for many developing countries to conduct frequent nation-wide inventories. Here, we propose a rapid and accurate approach to map the carbon stock of each individual tree and shrub at the national scale of Rwanda...
Conference Paper
Full-text available
Browser extensions enrich users' browsing experience, e.g., by blocking unwanted advertisements on websites. To perform these functions, users must grant certain permissions during the installation process. These permissions, however, give very limited information about the fact that they allow the extension to access user's personal data and brows...
Preprint
Full-text available
Deep learning methods hold great promise for the automatic analysis of large-scale remote sensing data in archaeological research. Here, we present a robust approach to locating ancient Maya architec-tures (buildings, aguadas, and platforms) based on integrated segmen-tation of satellite imagery and aerial laser scanning data. Deep learning models...
Article
Full-text available
The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible and interoperable. We outline the first stable release of the specification, v1.0, which is already supported by many leading databases and several software packages. We il...
Preprint
Full-text available
The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible and interoperable. We outline the first stable release of the specification, v1.0, which is already supported by many leading databases and several software packages. We il...
Article
Full-text available
A large proportion of dryland trees and shrubs (hereafter referred to collectively as trees) grow in isolation, without canopy closure. These non-forest trees have a crucial role in biodiversity, and provide ecosystem services such as carbon storage, food resources and shelter for humans and animals1,2. However, most public interest relating to tre...
Conference Paper
Full-text available
Passwords commonly contain personal information. However, there is limited awareness about its detrimental effect on the user's online security. Current password meters do not take into account personal information and, therefore, their users are susceptible to targeted password guessing. In this paper, we present the MoiPrivacy password meter, tha...
Thesis
Full-text available
User-generated content (UGC) has been on the rise with the emergence of Web 2.0 and it is the driving force behind prominent online platforms such as Wikipedia, OpenStreetMap, Facebook, and Twitter. UGC has led to numerous innovations in academia and industry and has transformed our world in multiple ways. While the positive impact of UGC is abunda...
Preprint
Full-text available
A significant amount of our daily lives is dedicated to driving, leading to an unavoidable exposure to driving-related stress. The rise of autonomous vehicles will likely lessen the extent of this stress and enhance the routine traveling experience. Yet, no matter how diverse they may be, current routing criteria are limited to considering only the...
Preprint
A major challenge in training deep learning models is the lack of high quality and complete datasets. In the paper, we present a masking approach for training deep learning models from a publicly available but incomplete dataset. For example, city of Hamburg, Germany maintains a list of trees along the roads, but this dataset does not contain any i...
Article
Full-text available
Flags are important national symbols that have transcended into the digital world with inclusion in the Unicode character set. Despite their significance, there is little information about their role in online communication. This article examines the role of flag emoji in political communication online by analyzing 640,676 tweets by the most import...
Poster
Full-text available
Large bare termite mounds are common in tropical drylands and impact the landscape by altering vegetation productivity, surface albedo, and water redistribution processes. Termite mounds have previously been mapped at local scales using LiDAR and field-based work. However, little is known about their distribution over larger geographic scales. Usin...
Article
Full-text available
The 2018 ACM CHI Conference on Human Factors in Computing Systems took place 21-27 April in Montreal, Canada, and attracted over 3,000 participants. This years CHI marked the 50th anniversary of the Mother of all Demos and showcased many exciting new technologies and techniques that will help shape the future of pervasive computing.
Conference Paper
Full-text available
Many applications of geotagged content are predicated on the concept of localness (e.g., local restaurant recommendation, mining social media for local perspectives on an issue). However, definitions of who is a "local" in a given area are typically informal and ad-hoc and, as a result, approaches for localness assessment that have been used in the...
Conference Paper
Full-text available
A significant amount of our daily lives is dedicated to driving , leading to an unavoidable exposure to driving-related stress. The rise of autonomous vehicles will likely lessen the extent of this stress and enhance the routine travel-ing experience. Yet, no matter how diverse they may be, current routing criteria are limited to considering only t...
Conference Paper
Full-text available
Data discretization methods are usually evaluated in terms of technical criteria that are related to some specific data analysis goal like the preservation of variable interactions. In this paper, we provide a different evaluation principle that assesses the quality of a chosen discretization as the degree to which it coincides with human intuition...
Poster
Full-text available
The popularity of location-enabled social networking and the ubiquity of smartphones is creating vast amounts of geolocated data that is increasingly used to analyze human social behavior. In cities where its cover is the most comprehensive, the data from social networks can reveal characteristics and identify regions of the urban landscape. Previo...

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