With over 25 years’ of experience in using Earth Observation (EO) data Indufor’s Resource Monitoring team offers a unique insight on how to effectively monitor the Earth’s natural resources.
Our team creates actionable information from EO data that can be used to routinely monitor forest and landscape change.
Indufor’s Continuous Resource Monitoring System (CRMS) works by integrating high cadence EO data to provide timely insights required to support the monitoring of landscapes and improve decision-making processes.
Our expertise is applied to improve land monitoring processes such as tracking land cover change; updating land cover maps; monitoring compliance activities and providing baseline sustainability indicators.
Our routines are readily customised to allow monitoring of land use and cover change and can be provided in an ‘analysis ready’ format compatible with common mapping systems.
Head of Resource Monitoring
With 20 years’ management experience, Pete Watt leads the resource monitoring team, with overall responsibility for business strategy, growth and development. His expertise includes operational use of remotely sensed data for resource management, with a focus on monitoring land use cover and productivity at local and national scales. He is proficient in the use of GIS and remote sensing as applied to resource management and has been involved in significant projects throughout Oceania, Asia and South America. Pete is constantly monitoring technological advances in satellite imagery and data capture to ensure Indufor continues to lead the way in resource monitoring. He received his PhD and MSc (Distinction) in forest monitoring from Durham University, England (2005), and his BForSc from Canterbury University, New Zealand (1993).
Consultant, Resource Monitoring
Proficient in the field of GIS and environmental management, Chen Yang specialises in deriving and interpreting information from spatial data and satellite imagery. His expertise lies in data integration, land use mapping, land cover mapping, LiDAR data analysis to validate and update plantation information systems - a key forest valuation and due diligence input. Chen has experience in Oceania, Asia and South America and has been involved in valuations and FMIS development projects in China. He was awarded his Bachelor of Forestry Science from the University of Canterbury (2008), New Zealand and a Postgraduate Diploma of Environmental Science (2013) from Auckland University, New Zealand. He is fluent in Mandarin and English.
Geospatial Application Specialist
Andrew Holdaway has a background in remote sensing and GIS, with experience in the monitoring of natural features using a range of optical data. With a background in coastal geomorphology, he has an interest in applying emerging geospatial technologies and techniques. Andrew’s recent research has focused on large-scale change detection with Landsat data using Google Earth Engine, gaining an MSc (first class honours) in 2018 from the University of Auckland
Principal Applications Developer
Chaplin Chan strengthens the team with his expertise in land cover change detection, working with remote sensing products. With a strong IT background, he is responsible for the development of customised processing routines within a GIS and remote sensing environment using cloud-computing (and local) platforms. He has extensive experience mapping temporal changes across forested landscapes. Chaplin has played a pivotal role in managing the capture and integration of various (airborne and space-borne) datasets to improve resource management decisions. He has extensive project experience throughout Oceania, Asia, and North and South America. Chaplin gained his BSc double major in Geography and Computer Science (2010) and a BSc (Hons) in Geography, specialising in GIS and remote sensing (2011) from Auckland University, New Zealand. He is fluent in English and Cantonese.
Consultant, Resource Monitoring
With a solid forestry background, Kevin Tao has a wealth of experience across a range of disciplines including resource inventory, forest modeling and analysis, harvest planning, transportation networks and resource mapping using GIS and remote sensing. He applies this knowledge to forest valuation and due diligence projects throughout South America, Oceania and Asia. Kevin received his Bachelor of Forestry Engineering degree from Canterbury University, New Zealand (2011). He is fluent in Mandarin and English.
Mr Gaudel has a master’s degree in Forestry (MSc For, 2019) from the University of Helsinki, and a bachelor’s degree in Environmental Engineering (2014). He is an expert in forest resource management, remote sensing and GIS. He has previously worked in the Lappeenranta University of Technology in Mikkeli, Finland, as a junior researcher in the promotion of sustainable wood supply through digitalisation and biomass supply potential evaluation. He has worked as forest inventory officer at Silvere and completed internship at Finnish Forest Research Institute, Finland. He is fluent in English, Nepali, Hindi and has good Finnish language skills.
Michael is a Consultant at Indufor North America. His work centers on forest and natural resource governance and the use of data to develop custom-built tools to improve decision-making. Recently he supported Rainforest Foundation Norway in building a model of financial flows to tropical forest protection. He has previously worked with NASA, the World Food Programme, and the International Research Institute for Climate and Society on climate, disaster, and food security linkages. He holds a Masters in Climate and Society from the Department of Earth and Environmental Sciences, Columbia University, and a Bachelor’s in International Relations from American University. He speaks English and Spanish.
Abdullah Madawi has a background in applied mathematics and geophysics completing his MSc in 2019. He works in the Resource Monitoring team at Indufor, utilising his proficiency in programming and analysing large datasets within local and cloud-based environments. Abdullah's MSc research investigated the temporal and spatial variability of Antarctic Bottom Water pathways using a Lagrangian particle tracking tool.