Institutional thickening and innovation: reflections on the remapping of the Great Bear Rainforest [PDF]
The information, practices and views in this article are those of the author(s) and do not necessarily reflect the opinion of the Royal Geographical Society (with IBG).
Affolderbach, Julia+3 more
core +1 more source
Buying Time: Capitalist Temporalities in Animal Crossing: Pocket Camp [PDF]
In November 2017, Nintendo released Animal Crossing: Pocket Camp (Nintendo 2017) for iOS and Android devices. At first blush, the game is much like previous instalments in the series.
Scully-Blaker, Rainforest
core +1 more source
Were the first Bantu speakers south of the rainforest farmers? A first assessment of the linguistic evidence [PDF]
Popular belief has it that the Bantu Expansion was a farming/language dispersal. However, there is neither conclusive archaeological nor linguistic evidence to substantiate this hypothesis, especially not for the initial spread in West-Central Africa. In
Adjanohoun+57 more
core +1 more source
Adventurous Rainforest Hike [PDF]
Postcard from Amanda Contreras, during the Linfield College Semester Abroad Program at James Cook University in Cairns ...
Contreras, Amanda
core +1 more source
Are we using the most appropriate methodologies to assess the sensitivity of rainforest biodiversity to habitat disturbance? [PDF]
Accurately assessing how biodiversity responds in the Anthropocene is vital. To do so, a number of indicator taxa are commonly used to monitor human-impacted forests and the subsequent recovery of their biodiversity.
Braunholtz, L.+3 more
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A broad typology of dry rainforests on the western slopes of New South Wales [PDF]
Dry rainforests are those communities that have floristic and structural affinities to mesic rainforests and occur in parts of eastern and northern Australia where rainfall is comparatively low and often highly seasonal.
Bruhl, Jeremy J.+2 more
core
Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model [PDF]
Accurate forecasting is important for decision-makers. Recently, the Amazon rainforest is reaching record levels of the number of fires, a situation that concerns both climate and public health problems. Obtaining the desired forecasting accuracy becomes difficult and challenging.
arxiv
MultiEarth 2022 -- Multimodal Learning for Earth and Environment Workshop and Challenge [PDF]
The Multimodal Learning for Earth and Environment Challenge (MultiEarth 2022) will be the first competition aimed at the monitoring and analysis of deforestation in the Amazon rainforest at any time and in any weather conditions. The goal of the Challenge is to provide a common benchmark for multimodal information processing and to bring together the ...
arxiv
MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge [PDF]
The Multimodal Learning for Earth and Environment Workshop (MultiEarth 2023) is the second annual CVPR workshop aimed at the monitoring and analysis of the health of Earth ecosystems by leveraging the vast amount of remote sensing data that is continuously being collected.
arxiv
RAE: The Rainforest Automation Energy Dataset for Smart Grid Meter Data Analysis [PDF]
Datasets are important for researchers to build models and test how well their machine learning algorithms perform. This paper presents the Rainforest Automation Energy (RAE) dataset to help smart grid researchers test their algorithms which make use of smart meter data.
arxiv +1 more source