| Biomass estimation using 3D data from unmanned aerial vehicle imagery in a tropical woodland DJ Kachamba, HO Ørka, T Gobakken, T Eid, W Mwase Remote Sensing 8 (11), 968, 2016 | 141 | 2016 |
| Above-and belowground biomass models for trees in the miombo woodlands of Malawi DJ Kachamba, T Eid, T Gobakken Forests 7 (2), 38, 2016 | 76 | 2016 |
| Effects of UAV image resolution, camera type, and image overlap on accuracy of biomass predictions in a tropical woodland D Domingo, HO Ørka, E Næsset, D Kachamba, T Gobakken Remote Sensing 11 (8), 948, 2019 | 65 | 2019 |
| Influence of plot size on efficiency of biomass estimates in inventories of dry tropical forests assisted by photogrammetric data from an unmanned aircraft system DJ Kachamba, HO Ørka, E Næsset, T Eid, T Gobakken Remote Sensing 9 (6), 610, 2017 | 40 | 2017 |
| Can drones help smallholder farmers improve agriculture efficiencies and reduce food insecurity in Sub-Saharan Africa? Local perceptions from Malawi C McCarthy, Y Nyoni, DJ Kachamba, LB Banda, B Moyo, C Chisambi, ... Agriculture 13 (5), 1075, 2023 | 15 | 2023 |
| Direct measurement of forest degradation rates in Malawi: toward a national forest monitoring system to support REDD+ DL Skole, JH Samek, C Mbow, M Chirwa, D Ndalowa, T Tumeo, ... Forests 12 (4), 426, 2021 | 13 | 2021 |
| Total tree, merchantable stem and branch volume models for miombo woodlands of Malawi DJ Kachamba, T Eid Southern Forests: a Journal of Forest Science 78 (1), 41-51, 2016 | 13 | 2016 |
| Above-and belowground biomass models for trees in the miombo woodlands of Malawi. Forests 7 (2): 38 DJ Kachamba, E Tron, G Terje | 3 | 2016 |
| Growth performance of Uapaca kirkiana Müell. Arg provenances in a breeding seedling orchard in Malawi W Mwase, L Mtalika, DJ Kachamba, MB Kwapata Journal of Biodiversity Management and Forestry 4 (2), 2015 | 2 | 2015 |
| Biofuel crops production in Malawi: principles and crop management practices. P Nalivata, DJ Kachamba, AH Mtethiwa, JP Njoloma, W Makumba, ... | 2 | 2011 |
| Use of mathematical models in forestry: Evaluation of ProFor model in three main forestry regions of South Africa DJ Kachamba, A Rozanov, PA Ackerman, D Matthies Journal of Horticulture and Forestry 1 (8), 152-159, 2009 | 2 | 2009 |
| Impact of harvesting machinery on soil physical parameters: evaluation of ProFor model in three main forestry regions of South Africa DJ Kachamba Stellenbosch: University of Stellenbosch, 2007 | 2 | 2007 |
| Leveraging the Power of Forests and Trees for Transformational Adaptation H Djoudi, K Dooley, AE Duchelle, A Libert-Amico, B Locatelli, MB Balinga, ... SSRN Electronic Journal, 1-26, 2022 | 1 | 2022 |
| Biomass estimation models and methods for miombo woodlands of Malawi using field and remotely sensed data DJ Kachamba Norwegian University of Life Sciences, Ås, 2016 | 1 | 2016 |
| Potential of applying unmanned aerial vehicles (UAVs) in biomass estimation of miombo woodlands in Malawi D Kachamba, T Eid, HO Ørka, W Mwase | | 2018 |
| New insights and lessons learned from simple systematic sample plot inventory exercises in miombo woodlands reserves under state and co-management in Malawi D Kachamba, T Eid, W Mwase | | 2018 |
| Modeller og metoder for å estimere biomasse i miomboskog i Malawi ved hjelp av feltinventering og fjernmåling DJ Kachamba Norwegian University of Life Sciences, Ås, 2016 | | 2016 |
| Modern information and Communication Technologies in mechannized Harvesting Operations-The Validation of ProFor in South African Forestry Industry DJ Kachamba, A Rozanov, PA Ackerman | | 2007 |
| 21. Impact of Harvesting Machinery on Soil Physical Parameters: Assessment of Profor Model’s Relevance in Three Main Forestry Regions of South Africa. DJ Kachamba, A Rozanov, PA Ackerman, D Matthies eedings of th hange into Ag ion: Tools, E, 306, 0 | | |
