Kirsi Karila

1.1k total citations
32 papers, 839 citations indexed

About

Kirsi Karila is a scholar working on Environmental Engineering, Ecology and Aerospace Engineering. According to data from OpenAlex, Kirsi Karila has authored 32 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Environmental Engineering, 18 papers in Ecology and 7 papers in Aerospace Engineering. Recurrent topics in Kirsi Karila's work include Remote Sensing and LiDAR Applications (21 papers), Remote Sensing in Agriculture (16 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers). Kirsi Karila is often cited by papers focused on Remote Sensing and LiDAR Applications (21 papers), Remote Sensing in Agriculture (16 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers). Kirsi Karila collaborates with scholars based in Finland, China and United States. Kirsi Karila's co-authors include Leena Matikainen, Juha Hyyppä, Mika Karjalainen, Eetu Puttonen, Mikko Vastaranta, Sanna Kaasalainen, Paula Litkey, Eero Ahokas, Markus Holopainen and Ville Kankare and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kirsi Karila

31 papers receiving 811 citations

Peers

Countries citing papers authored by Kirsi Karila

Since Specialization

Citations

This map shows the geographic impact of Kirsi Karila's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kirsi Karila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kirsi Karila more than expected).

Fields of papers citing papers by Kirsi Karila

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kirsi Karila. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kirsi Karila. The network helps show where Kirsi Karila may publish in the future.

Co-authorship network of co-authors of Kirsi Karila

This figure shows the co-authorship network connecting the top 25 collaborators of Kirsi Karila. A scholar is included among the top collaborators of Kirsi Karila based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kirsi Karila. Kirsi Karila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Towards scalable wide area UAS monitoring of forest disturbance using hydrogen powered airships 2024 ·International Journal of Remote Sensing ·(unknown), (unknown), (unknown), (unknown), Raquel Alves de Oliveira, Niko Koivumäki, Kirsi Karila, Roope Näsi, Juha Suomalainen, (unknown), Päivi Lyytikäinen‐Saarenmaa, Eija Honkavaara	0
2	Disaster-Caused Power Outage Detection at Night Using VIIRS DNB Images 2023 ·Remote Sensing ·Haodong Cui, Shi Qiu, Yicheng Wang, Yu Zhang, Zhaoyan Liu, Kirsi Karila, Jianxin Jia, Yuwei Chen	9
3	Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images 2023 ·Remote Sensing ·(unknown), Eija Honkavaara, Roope Näsi, Raquel Alves de Oliveira, Teemu Hakala, Samuli Junttila, Kirsi Karila, Niko Koivumäki, (unknown), (unknown), (unknown), Ilkka Pölönen, Päivi Lyytikäinen‐Saarenmaa	15
4	Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks 2022 ·Remote Sensing ·Kirsi Karila, Raquel Alves de Oliveira, (unknown), Jere Kaivosoja, Niko Koivumäki, Panu Korhonen, Oiva Niemeläinen, (unknown), Roope Näsi, Ilkka Pölönen, Eija Honkavaara	18
5	Review on Active and Passive Remote Sensing Techniques for Road Extraction 2021 ·Remote Sensing ·Jianxin Jia, (unknown), Changhui Jiang, Kirsi Karila, Mika Karjalainen, Eero Ahokas, (unknown), (unknown), (unknown), (unknown), Tinghuai Wang, Yuwei Chen, Juha Hyyppä	35
6	Toward utilizing multitemporal multispectral airborne laser scanning, Sentinel-2, and mobile laser scanning in map updating 2019 ·Journal of Applied Remote Sensing ·Leena Matikainen, (unknown), Fashuai Li, Kirsi Karila, Juha Hyyppä, Paula Litkey, Antero Kukko, Matti Lehtomäki, Mika Karjalainen, Eetu Puttonen	48
7	EXTRACTING URBAN MORPHOLOGY FOR ATMOSPHERIC MODELING FROM MULTISPECTRAL AND SAR SATELLITE IMAGERY 2017 ·SHILAP Revista de lepidopterología ·(unknown), Kirsi Karila, Eetu Puttonen, Antti Hellsten, Mikko Auvinen, Mika Karjalainen	2
8	FEASIBILITY OF MULTISPECTRAL AIRBORNE LASER SCANNING FOR LAND COVER CLASSIFICATION, ROAD MAPPING AND MAP UPDATING 2017 ·SHILAP Revista de lepidopterología ·Leena Matikainen, Kirsi Karila, Juha Hyyppä, Eetu Puttonen, Paula Litkey, Eero Ahokas	13
9	Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating 2017 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Leena Matikainen, Kirsi Karila, Juha Hyyppä, Paula Litkey, Eetu Puttonen, Eero Ahokas	105
10	TOWARDS AUTOMATIC SINGLE-SENSOR MAPPING BY MULTISPECTRAL AIRBORNE LASER SCANNING 2016 ·The international archives of the photogrammetry, remote sensing and spatial information sciences ·Eero Ahokas, Juha Hyyppä, (unknown), Xinlian Liang, Leena Matikainen, Kirsi Karila, Paula Litkey, (unknown), (unknown), (unknown), Markus Holopainen, Mikko Vastaranta	9
11	Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects 2015 ·Forests ·Sanna Kaasalainen, Markus Holopainen, Mika Karjalainen, Mikko Vastaranta, Ville Kankare, Kirsi Karila, Batuhan Osmanoğlu	75
12	FOREST INVENTORY ATTRIBUTE ESTIMATION USING AIRBORNE LASER SCANNING, AERIAL STEREO IMAGERY, RADARGRAMMETRY AND INTERFEROMETRY–FINNISH EXPERIENCES OF THE 3D TECHNIQUES 2015 ·SHILAP Revista de lepidopterología ·Markus Holopainen, Mikko Vastaranta, Mika Karjalainen, Kirsi Karila, Sanna Kaasalainen, Eija Honkavaara, Juha Hyyppä	21
13	Monitoring Changes in Rice Cultivated Area from SAR and Optical Satellite Images in Ben Tre and Tra Vinh Provinces in Mekong Delta, Vietnam 2014 ·Remote Sensing ·Kirsi Karila, Olli Nevalainen, Anssi Krooks, Mika Karjalainen, Sanna Kaasalainen	32
14	A Comparison of Precise Leveling and Persistent Scatterer SAR Interferometry for Building Subsidence Rate Measurement 2013 ·ISPRS International Journal of Geo-Information ·Kirsi Karila, Mika Karjalainen, Juha Hyyppä, J. Koskinen, (unknown), (unknown)	27
15	THE CHALLENGE OF AUTOMATED CHANGE DETECTION: DEVELOPING A METHOD FOR THE UPDATING OF LAND PARCELS 2012 ·SHILAP Revista de lepidopterología ·Leena Matikainen, Kirsi Karila, Paula Litkey, Eero Ahokas, (unknown), Mika Karjalainen, Juha Hyyppä	4
16	Segment-Based Land Cover Mapping of a Suburban Area—Comparison of High-Resolution Remotely Sensed Datasets Using Classification Trees and Test Field Points 2011 ·Remote Sensing ·Leena Matikainen, Kirsi Karila	77
17	TEST FIELD FOR INSAR URBAN SUBSIDENCE STUDIES 2007 ·Peptides ·Kirsi Karila, Mika Karjalainen, Juha Hyyppä, (unknown)	1
18	Annual Review 2006 2007 ·(unknown), Henrik Haggrén, (unknown), Hannu Hyyppä, Olli Jokinen, (unknown), (unknown), (unknown), Petri Rönnholm, (unknown), Kirsi Karila, Ulla Pyysalo, (unknown), (unknown)	14
19	Urban land subsidence studies in Finland using synthetic aperture radar images and coherent targets 2005 ·Kirsi Karila, Mika Karjalainen, Juha Hyyppä	10
20	Detection of Urban Land Subsidence in the City of Turku in Finland using Differential SAR Interferometry 2004 ·Kirsi Karila, Mika Karjalainen, Juha Hyyppä	3

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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